{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Prolegomenon\n",
    "\n",
    "This is the publication of all data used analysing the *Nationale Forschungsdateninfrastruktur* (NFDI) with its different consortia. \n",
    "The source of the data are the binding Letters of Intent (LoI) of the consortia in which they name their collaboration partners.[^1] The following analysis only includes documents that were submitted to the DFG as binding pre-applications for 2019 and 2020 (binding Letters of Intent). Consortia that did not submit a binding Letter of Intent in 2019 or 2020 were not included.\n",
    "We gathered all the data at the point when the LoI have been turned in. Consortia which have not turned in a binding Letter of Intent are not considered at all.\n",
    "\n",
    "[^1]: Have a look at the GitHub repository of Dorothea Strecker (<https://github.com/dorothearrr/NFDI_Netzwerk>), where the data has been destilled from the various LoI.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "lines_to_next_cell": 0,
    "message": false,
    "slideshow": {
     "slide_type": "skip"
    },
    "tags": [
     "remove_output",
     "remove_cell"
    ],
    "warning": false
   },
   "outputs": [],
   "source": [
    "setwd(getwd())\n",
    "library('igraph')\n",
    "library('dplyr')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Presettings\n",
    "\n",
    "Making sure that we have a common seed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "nfdi_seed <- function() {\n",
    "  set.seed(1234)\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "We define colors we will use for grouping consortia."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "nfdi_conference_colors <- function() {\n",
    "\n",
    "  nfdi_color_code <<- c(\"#f5ac9f\", # Medizin\n",
    "                       \"#e43516\", # Lebenswissenschaften\n",
    "                       \"#f9b900\", # Geisteswissenschaften\n",
    "                       \"#007aaf\", # Ingenieurwissenschaften\n",
    "                       \"#6ca11d\"  # Chemie und Physik\n",
    "                    )\n",
    "  nfdi_color_groups <<- nfdi_color_code[as.numeric(as.factor(V(nfdi_network_year)$group))]\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Some presettings for plotting the networks."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "nfdi_plot_settings <- function(){\n",
    "    \n",
    "    nfdi_conference_colors()\n",
    "    \n",
    "    graph_attr(nfdi_network_year, \"layout\") <<- norm_coords(layout.graphopt(nfdi_network_year), \n",
    "                                                            ymin = -1, ymax = 1, xmin = -1, xmax = 1)*2\n",
    "    \n",
    "    vertex_attr(nfdi_network_year, \"label.cex\") <<- .7\n",
    "    vertex_attr(nfdi_network_year, \"label.color\") <<- \"black\"\n",
    "    vertex_attr(nfdi_network_year, \"label.font\") <<- 1\n",
    "    vertex_attr(nfdi_network_year, \"label.family\") <<- \"Helvetica\"\n",
    "    vertex_attr(nfdi_network_year, \"color\") <<- nfdi_color_groups\n",
    "    vertex_attr(nfdi_network_year, \"frame.color\") <<- nfdi_color_groups\n",
    "    vertex_attr(nfdi_network_year, \"size\") <<- rescale_vertices(degree(nfdi_network_year,\n",
    "                                 mode=\"total\"))*20\n",
    "    \n",
    "    edge_attr(nfdi_network_year, \"color\") <- \"#808080\"\n",
    "    edge_attr(nfdi_network_year, \"curved\") <<- 0.1\n",
    "    edge_attr(nfdi_network_year, \"arrow.size\") <<- .5\n",
    "    edge_attr(nfdi_network_year, \"arrow.width\") <<- .5\n",
    "    \n",
    "    rescale = F\n",
    "    \n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "We can define a function for rescaling the vertex size. This makes plots of the 2019 and 2020 networks visually comparable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "rescale_vertices <- function(x){(x - 3)/(20 - 3)} # min-max normalization; min = (min - 1) to omit zeroes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Next we are setting up a function to get the same presettings for all different data frames."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "lines_to_next_cell": 2,
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": [
     "remove_cell"
    ]
   },
   "outputs": [],
   "source": [
    "nfdi_presettings <- function(nfdi_edges_year,nfdi_directed_graph){\n",
    "  nfdi_seed()\n",
    "  nfdi_edges <<- get(paste0(\"nfdi_edges_\",nfdi_edges_year))\n",
    "  nfdi_nodes <<- get(paste0(\"nfdi_nodes_\",nfdi_edges_year))\n",
    "  nfdi_network_year <<- graph_from_data_frame(\n",
    "      d = nfdi_edges, \n",
    "      vertices = nfdi_nodes,\n",
    "      directed = nfdi_directed_graph)\n",
    "  nfdi_plot_settings()\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Data sets\n",
    "\n",
    "The core of the this publication are the sets of edges i.e. the connections for collaborations between the consortia.\n",
    "So far there are only two data sets available, for 2019 and for 2020. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### 2019\n",
    "Now follows the information regarding the consortia.\n",
    "Precisly the allocated group according to the NFDI-conference system (`group`),\n",
    "and since at the time of turning in the LoI none of the consortia had been funded the column (`funded`) has `0` as value for all the consortia."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "skip"
    },
    "tags": [
     "remove_input",
     "remove_cell"
    ]
   },
   "outputs": [],
   "source": [
    "nfdi_edges_2019 <- read.table(\n",
    "  header=TRUE,\n",
    "  sep=\",\",\n",
    "  text=\"\n",
    "from,to\n",
    "Astro-NFDI,PAHN-PaN\n",
    "Astro-NFDI,DAPHNE\n",
    "Astro-NFDI,NFDI4Earth\n",
    "BERD\\\\@NFDI,KonsortSWD\n",
    "BERD\\\\@NFDI,ForumX\n",
    "BERD\\\\@NFDI,Text+\n",
    "DAPHNE,FAIRmat\n",
    "DAPHNE,NFDI4Chem\n",
    "DAPHNE,NFDI4Ing\n",
    "DAPHNE,NFDI4MSE\n",
    "DAPHNE,NFDI4Cat\n",
    "DAPHNE,PAHN-PaN\n",
    "DAPHNE,Astro-NFDI\n",
    "DataPLANT,NFDI4BioDiversity\n",
    "DataPLANT,NFDI4Agri\n",
    "DataPLANT,NFDI4Chem\n",
    "FAIRmat,DAPHNE\n",
    "FAIRmat,MaRDI\n",
    "FAIRmat,NFDI4Chem\n",
    "FAIRmat,NFDI4Cat\n",
    "FAIRmat,NFDI4Ing\n",
    "FAIRmat,NFDI4MSE\n",
    "ForumX,NFDI4Medicine\n",
    "ForumX,KonsortSWD\n",
    "ForumX,BERD\\\\@NFDI\n",
    "ForumX,NFDI4Culture\n",
    "ForumX,Text+\n",
    "GHGA,NFDI4Medicine\n",
    "GHGA,NFDI4Health\n",
    "KonsortSWD,BERD\\\\@NFDI\n",
    "KonsortSWD,NFDI4BioDiversity\n",
    "KonsortSWD,NFDI4Earth\n",
    "KonsortSWD,NFDI4Health\n",
    "KonsortSWD,Text+\n",
    "MaRDI,NFDI4MSE\n",
    "MaRDI,PAHN-PaN\n",
    "MaRDI,FAIRmat\n",
    "MaRDI,NFDI4Ing\n",
    "MaRDI,NFDI4Chem\n",
    "MaRDI,NFDI4Culture\n",
    "NFDI4Agri,NFDI4Health\n",
    "NFDI4Agri,DataPLANT\n",
    "NFDI4Agri,NFDI4BioDiversity\n",
    "NFDI4Agri,KonsortSWD\n",
    "NFDI4Agri,NFDI4Earth\n",
    "NFDI4BioDiversity,NFDI4Earth\n",
    "NFDI4BioDiversity,NFDI4Agri\n",
    "NFDI4BioDiversity,NFDI4Chem\n",
    "NFDI4BioDiversity,NFDI4Health\n",
    "NFDI4BioDiversity,KonsortSWD\n",
    "NFDI4BioDiversity,NFDI4Crime\n",
    "NFDI4BioDiversity,DataPLANT\n",
    "NFDI4BioDiversity,NFDI4Medicine\n",
    "NFDI4Cat,FAIRmat\n",
    "NFDI4Cat,NFDI4Chem\n",
    "NFDI4Cat,NFDI4Ing\n",
    "NFDI4Cat,DAPHNE\n",
    "NFDI4Chem,FAIRmat\n",
    "NFDI4Chem,NFDI4Ing\n",
    "NFDI4Chem,NFDI4Cat\n",
    "NFDI4Chem,DAPHNE\n",
    "NFDI4Chem,PAHN-PaN\n",
    "NFDI4Chem,NFDI4Health\n",
    "NFDI4Chem,NFDI4BioDiversity\n",
    "NFDI4Crime,NFDI4BioDiversity\n",
    "NFDI4Crime,NFDI4Medicine\n",
    "NFDI4Crime,Text+\n",
    "NFDI4Culture,Text+\n",
    "NFDI4Culture,MaRDI\n",
    "NFDI4Culture,NFDI4Ing\n",
    "NFDI4Earth,Astro-NFDI\n",
    "NFDI4Earth,KonsortSWD\n",
    "NFDI4Earth,NFDI4Agri\n",
    "NFDI4Earth,NFDI4BioDiversity\n",
    "NFDI4Earth,NFDI4Ing\n",
    "NFDI4Health,NFDI4Medicine\n",
    "NFDI4Health,GHGA\n",
    "NFDI4Health,KonsortSWD\n",
    "NFDI4Health,NFDI4Chem\n",
    "NFDI4Health,NFDI4Agri\n",
    "NFDI4Health,NFDI4Earth\n",
    "NFDI4Health,NFDI4BioDiversity\n",
    "NFDI4Ing,NFDI4MSE\n",
    "NFDI4Ing,FAIRmat\n",
    "NFDI4Ing,NFDI4MobilTech\n",
    "NFDI4Ing,NFDI4Chem\n",
    "NFDI4Ing,NFDI4Earth\n",
    "NFDI4Ing,MaRDI\n",
    "NFDI4Ing,NFDI4Medicine\n",
    "NFDI4Ing,Text+\n",
    "NFDI4Ing,NFDI4Culture\n",
    "NFDI4Medicine,GHGA\n",
    "NFDI4Medicine,NFDI4Health\n",
    "NFDI4Medicine,NFDI4Ing\n",
    "NFDI4Medicine,NFDI4Crime\n",
    "NFDI4Medicine,ForumX\n",
    "NFDI4Medicine,KonsortSWD\n",
    "NFDI4Medicine,NFDI4Agri\n",
    "NFDI4MobilTech,NFDI4Ing\n",
    "NFDI4MobilTech,ForumX\n",
    "NFDI4MobilTech,NFDI4Earth\n",
    "NFDI4MSE,FAIRmat\n",
    "NFDI4MSE,NFDI4Ing\n",
    "NFDI4MSE,MaRDI\n",
    "NFDI4MSE,NFDI4Chem\n",
    "NFDI4MSE,DAPHNE\n",
    "Text+,NFDI4Culture\n",
    "Text+,KonsortSWD\n",
    "Text+,NFDI4Ing\n",
    "Text+,NFDI4Earth\n",
    "Text+,NFDI4BioDiversity\n",
    "\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "nfdi_nodes_2019 <- read.table(\n",
    "  header=TRUE,\n",
    "  sep=\",\",\n",
    "  text=\"\n",
    "name,group,funded\n",
    "Astro-NFDI,5,0\n",
    "BERD\\\\@NFDI,3,0\n",
    "DAPHNE,5,0\n",
    "DataPLANT,2,0\n",
    "FAIRmat,5,0\n",
    "ForumX,3,0\n",
    "GHGA,1,0\n",
    "KonsortSWD,3,0\n",
    "MaRDI,4,0\n",
    "NFDI4Agri,2,0\n",
    "NFDI4BioDiversity,2,0\n",
    "NFDI4Cat,5,0\n",
    "NFDI4Chem,5,0\n",
    "NFDI4Crime,2,0\n",
    "NFDI4Culture,3,0\n",
    "NFDI4Earth,2,0\n",
    "NFDI4Health,1,0\n",
    "NFDI4Ing,4,0\n",
    "NFDI4MSE,5,0\n",
    "NFDI4Medicine,1,0\n",
    "NFDI4MobilTech,4,0\n",
    "PAHN-PaN,5,0\n",
    "Text+,3,0\n",
    "\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### 2020\n",
    "What follows is the data for the year 2020 and the collaboration intentions between new and already funded consortia."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "skip"
    },
    "tags": [
     "remove_input",
     "remove_cell"
    ]
   },
   "outputs": [],
   "source": [
    "nfdi_edges_2020 <- read.table(\n",
    "  header=TRUE,\n",
    "  sep=\",\",\n",
    "  text=\"\n",
    "from,to\n",
    "BERD\\\\@NFDI,KonsortSWD\n",
    "BERD\\\\@NFDI,MaRDI\n",
    "BERD\\\\@NFDI,NFDI4Memory\n",
    "BERD\\\\@NFDI,Text+\n",
    "DAPHNE4NFDI,FAIRmat\n",
    "DAPHNE4NFDI,NFDI-MatWerk\n",
    "DAPHNE4NFDI,NFDI4Cat\n",
    "DAPHNE4NFDI,NFDI4Chem\n",
    "DAPHNE4NFDI,NFDI4Health\n",
    "DAPHNE4NFDI,NFDI4Ing\n",
    "DAPHNE4NFDI,NFDI4Objects\n",
    "DAPHNE4NFDI,PUNCH4NFDI\n",
    "FAIRmat,DAPHNE4NFDI\n",
    "FAIRmat,DataPLANT\n",
    "FAIRmat,MaRDI\n",
    "FAIRmat,NFDI-MatWerk\n",
    "FAIRmat,NFDI4Cat\n",
    "FAIRmat,NFDI4Chem\n",
    "FAIRmat,NFDI4DataScience\n",
    "FAIRmat,NFDI4Ing\n",
    "FAIRmat,NFDIxCS\n",
    "FAIRmat,PUNCH4NFDI\n",
    "MaRDI,BERD\\\\@NFDI\n",
    "MaRDI,FAIRmat\n",
    "MaRDI,NFDI-MatWerk\n",
    "MaRDI,NFDI-Neuro\n",
    "MaRDI,NFDI4Cat\n",
    "MaRDI,NFDI4Chem\n",
    "MaRDI,NFDI4Ing\n",
    "MaRDI,PUNCH4NFDI\n",
    "NFDI-MatWerk,DAPHNE4NFDI\n",
    "NFDI-MatWerk,DataPLANT\n",
    "NFDI-MatWerk,FAIRmat\n",
    "NFDI-MatWerk,MaRDI\n",
    "NFDI-MatWerk,NFDI4Chem\n",
    "NFDI-MatWerk,NFDI4DataScience\n",
    "NFDI-MatWerk,NFDI4Ing\n",
    "NFDI-MatWerk,NFDIxCS\n",
    "NFDI-Neuro,DataPLANT\n",
    "NFDI-Neuro,GHGA\n",
    "NFDI-Neuro,NFDI4BioDiversity\n",
    "NFDI-Neuro,NFDI4Culture\n",
    "NFDI-Neuro,NFDI4Earth\n",
    "NFDI-Neuro,NFDI4Health\n",
    "NFDI-Neuro,NFDI4Ing\n",
    "NFDI-Neuro,NFDI4Microbiota\n",
    "NFDI4Agri,DataPLANT\n",
    "NFDI4Agri,KonsortSWD\n",
    "NFDI4Agri,NFDI4BioDiversity\n",
    "NFDI4Agri,NFDI4Earth\n",
    "NFDI4Agri,NFDI4Health\n",
    "NFDI4Agri,NFDI4Immuno\n",
    "NFDI4Agri,NFDI4Microbiota\n",
    "NFDI4DataScience,KonsortSWD\n",
    "NFDI4DataScience,MaRDI\n",
    "NFDI4DataScience,NFDI-MatWerk\n",
    "NFDI4DataScience,NFDI4BioDiversity\n",
    "NFDI4DataScience,NFDI4Cat\n",
    "NFDI4DataScience,NFDI4Chem\n",
    "NFDI4DataScience,NFDI4Culture\n",
    "NFDI4DataScience,NFDI4Health\n",
    "NFDI4DataScience,NFDI4Ing\n",
    "NFDI4DataScience,NFDI4Microbiota\n",
    "NFDI4DataScience,NFDIxCS\n",
    "NFDI4Earth,DataPLANT\n",
    "NFDI4Earth,GHGA\n",
    "NFDI4Earth,KonsortSWD\n",
    "NFDI4Earth,NFDI4Agri\n",
    "NFDI4Earth,NFDI4BioDiversity\n",
    "NFDI4Earth,NFDI4Cat\n",
    "NFDI4Earth,NFDI4Chem\n",
    "NFDI4Earth,NFDI4Culture\n",
    "NFDI4Earth,NFDI4Health\n",
    "NFDI4Earth,NFDI4Ing\n",
    "NFDI4Earth,NFDI4Objects\n",
    "NFDI4Immuno,GHGA\n",
    "NFDI4Immuno,NFDI4Agri\n",
    "NFDI4Immuno,NFDI4Health\n",
    "NFDI4Immuno,NFDI4Microbiota\n",
    "NFDI4Memory,BERD\\\\@NFDI\n",
    "NFDI4Memory,KonsortSWD\n",
    "NFDI4Memory,MaRDI\n",
    "NFDI4Memory,NFDI4Culture\n",
    "NFDI4Memory,NFDI4Objects\n",
    "NFDI4Memory,Text+\n",
    "NFDI4Microbiota,DataPLANT\n",
    "NFDI4Microbiota,GHGA\n",
    "NFDI4Microbiota,NFDI4Agri\n",
    "NFDI4Microbiota,NFDI4BioDiversity\n",
    "NFDI4Microbiota,NFDI4Chem\n",
    "NFDI4Microbiota,NFDI4DataScience\n",
    "NFDI4Microbiota,NFDI4Health\n",
    "NFDI4Microbiota,NFDI4Immuno\n",
    "NFDI4Microbiota,NFDI4Ing\n",
    "NFDI4Objects,KonsortSWD\n",
    "NFDI4Objects,NFDI4Agri\n",
    "NFDI4Objects,NFDI4BioDiversity\n",
    "NFDI4Objects,NFDI4Culture\n",
    "NFDI4Objects,NFDI4Earth\n",
    "NFDI4Objects,NFDI4Memory\n",
    "NFDI4Objects,Text+\n",
    "NFDI4SD,NFDI4Culture\n",
    "NFDI4SD,NFDI4DataScience\n",
    "NFDI4SD,NFDI4Memory\n",
    "NFDI4SD,NFDI4Objects\n",
    "NFDIxCS,FAIRmat\n",
    "NFDIxCS,MaRDI\n",
    "NFDIxCS,NFDI4Chem\n",
    "NFDIxCS,NFDI4DataScience\n",
    "NFDIxCS,NFDI4Earth\n",
    "NFDIxCS,NFDI4Ing\n",
    "PUNCH4NFDI,DAPHNE4NFDI\n",
    "PUNCH4NFDI,FAIRmat\n",
    "PUNCH4NFDI,GHGA\n",
    "PUNCH4NFDI,MaRDI\n",
    "PUNCH4NFDI,NFDI4Earth\n",
    "PUNCH4NFDI,NFDI4Ing\n",
    "PUNCH4NFDI,NFDIxCS\n",
    "Text+,KonsortSWD\n",
    "Text+,NFDI4BioDiversity\n",
    "Text+,NFDI4Culture\n",
    "Text+,NFDI4Earth\n",
    "Text+,NFDI4Ing\n",
    "Text+,NFDI4Memory\n",
    "Text+,NFDI4Objects\n",
    "\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "nfdi_nodes_2020 <- read.table(\n",
    "  header=TRUE,\n",
    "  sep=\",\",\n",
    "  text=\"\n",
    "name,group,funded\n",
    "BERD\\\\@NFDI,3,0\n",
    "DAPHNE4NFDI,5,0\n",
    "DataPLANT,2,1\n",
    "FAIRmat,5,0\n",
    "GHGA,1,1\n",
    "KonsortSWD,3,1\n",
    "MaRDI,4,0\n",
    "NFDI-MatWerk,4,0\n",
    "NFDI-Neuro,1,0\n",
    "NFDI4Agri,2,0\n",
    "NFDI4BioDiversity,2,1\n",
    "NFDI4Cat,5,1\n",
    "NFDI4Chem,5,1\n",
    "NFDI4Culture,3,1\n",
    "NFDI4DataScience,4,0\n",
    "NFDI4Earth,2,0\n",
    "NFDI4Health,1,1\n",
    "NFDI4Immuno,1,0\n",
    "NFDI4Ing,4,1\n",
    "NFDI4Memory,3,0\n",
    "NFDI4Microbiota,2,0\n",
    "NFDI4Objects,3,0\n",
    "NFDI4SD,3,0\n",
    "NFDIxCS,4,0\n",
    "PUNCH4NFDI,5,0\n",
    "Text+,3,0\n",
    "\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Edges \n",
    "\n",
    "Let us now display the edges for the data sets we have so far.\n",
    "We do this using a particular function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "name": "data-as-csv",
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": [
     "remove_input",
     "remove_cell"
    ]
   },
   "outputs": [],
   "source": [
    "nfdi_edges <- function(nfdi_edges_year) {\n",
    "    df <- get(paste0(\"nfdi_edges_\",nfdi_edges_year))\n",
    "    \n",
    "   # df\n",
    "    print(tbl_df(df), n=Inf)\n",
    "}\n",
    "# nfdi_edges(2019)\n",
    "# nfdi_edges(2020)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "\n",
    "### 2019"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# A tibble: 111 × 2\n",
      "                 from                to\n",
      "               <fctr>            <fctr>\n",
      "1          Astro-NFDI          PAHN-PaN\n",
      "2          Astro-NFDI            DAPHNE\n",
      "3          Astro-NFDI        NFDI4Earth\n",
      "4         BERD\\\\@NFDI        KonsortSWD\n",
      "5         BERD\\\\@NFDI            ForumX\n",
      "6         BERD\\\\@NFDI             Text+\n",
      "7              DAPHNE           FAIRmat\n",
      "8              DAPHNE         NFDI4Chem\n",
      "9              DAPHNE          NFDI4Ing\n",
      "10             DAPHNE          NFDI4MSE\n",
      "11             DAPHNE          NFDI4Cat\n",
      "12             DAPHNE          PAHN-PaN\n",
      "13             DAPHNE        Astro-NFDI\n",
      "14          DataPLANT NFDI4BioDiversity\n",
      "15          DataPLANT         NFDI4Agri\n",
      "16          DataPLANT         NFDI4Chem\n",
      "17            FAIRmat            DAPHNE\n",
      "18            FAIRmat             MaRDI\n",
      "19            FAIRmat         NFDI4Chem\n",
      "20            FAIRmat          NFDI4Cat\n",
      "21            FAIRmat          NFDI4Ing\n",
      "22            FAIRmat          NFDI4MSE\n",
      "23             ForumX     NFDI4Medicine\n",
      "24             ForumX        KonsortSWD\n",
      "25             ForumX       BERD\\\\@NFDI\n",
      "26             ForumX      NFDI4Culture\n",
      "27             ForumX             Text+\n",
      "28               GHGA     NFDI4Medicine\n",
      "29               GHGA       NFDI4Health\n",
      "30         KonsortSWD       BERD\\\\@NFDI\n",
      "31         KonsortSWD NFDI4BioDiversity\n",
      "32         KonsortSWD        NFDI4Earth\n",
      "33         KonsortSWD       NFDI4Health\n",
      "34         KonsortSWD             Text+\n",
      "35              MaRDI          NFDI4MSE\n",
      "36              MaRDI          PAHN-PaN\n",
      "37              MaRDI           FAIRmat\n",
      "38              MaRDI          NFDI4Ing\n",
      "39              MaRDI         NFDI4Chem\n",
      "40              MaRDI      NFDI4Culture\n",
      "41          NFDI4Agri       NFDI4Health\n",
      "42          NFDI4Agri         DataPLANT\n",
      "43          NFDI4Agri NFDI4BioDiversity\n",
      "44          NFDI4Agri        KonsortSWD\n",
      "45          NFDI4Agri        NFDI4Earth\n",
      "46  NFDI4BioDiversity        NFDI4Earth\n",
      "47  NFDI4BioDiversity         NFDI4Agri\n",
      "48  NFDI4BioDiversity         NFDI4Chem\n",
      "49  NFDI4BioDiversity       NFDI4Health\n",
      "50  NFDI4BioDiversity        KonsortSWD\n",
      "51  NFDI4BioDiversity        NFDI4Crime\n",
      "52  NFDI4BioDiversity         DataPLANT\n",
      "53  NFDI4BioDiversity     NFDI4Medicine\n",
      "54           NFDI4Cat           FAIRmat\n",
      "55           NFDI4Cat         NFDI4Chem\n",
      "56           NFDI4Cat          NFDI4Ing\n",
      "57           NFDI4Cat            DAPHNE\n",
      "58          NFDI4Chem           FAIRmat\n",
      "59          NFDI4Chem          NFDI4Ing\n",
      "60          NFDI4Chem          NFDI4Cat\n",
      "61          NFDI4Chem            DAPHNE\n",
      "62          NFDI4Chem          PAHN-PaN\n",
      "63          NFDI4Chem       NFDI4Health\n",
      "64          NFDI4Chem NFDI4BioDiversity\n",
      "65         NFDI4Crime NFDI4BioDiversity\n",
      "66         NFDI4Crime     NFDI4Medicine\n",
      "67         NFDI4Crime             Text+\n",
      "68       NFDI4Culture             Text+\n",
      "69       NFDI4Culture             MaRDI\n",
      "70       NFDI4Culture          NFDI4Ing\n",
      "71         NFDI4Earth        Astro-NFDI\n",
      "72         NFDI4Earth        KonsortSWD\n",
      "73         NFDI4Earth         NFDI4Agri\n",
      "74         NFDI4Earth NFDI4BioDiversity\n",
      "75         NFDI4Earth          NFDI4Ing\n",
      "76        NFDI4Health     NFDI4Medicine\n",
      "77        NFDI4Health              GHGA\n",
      "78        NFDI4Health        KonsortSWD\n",
      "79        NFDI4Health         NFDI4Chem\n",
      "80        NFDI4Health         NFDI4Agri\n",
      "81        NFDI4Health        NFDI4Earth\n",
      "82        NFDI4Health NFDI4BioDiversity\n",
      "83           NFDI4Ing          NFDI4MSE\n",
      "84           NFDI4Ing           FAIRmat\n",
      "85           NFDI4Ing    NFDI4MobilTech\n",
      "86           NFDI4Ing         NFDI4Chem\n",
      "87           NFDI4Ing        NFDI4Earth\n",
      "88           NFDI4Ing             MaRDI\n",
      "89           NFDI4Ing     NFDI4Medicine\n",
      "90           NFDI4Ing             Text+\n",
      "91           NFDI4Ing      NFDI4Culture\n",
      "92      NFDI4Medicine              GHGA\n",
      "93      NFDI4Medicine       NFDI4Health\n",
      "94      NFDI4Medicine          NFDI4Ing\n",
      "95      NFDI4Medicine        NFDI4Crime\n",
      "96      NFDI4Medicine            ForumX\n",
      "97      NFDI4Medicine        KonsortSWD\n",
      "98      NFDI4Medicine         NFDI4Agri\n",
      "99     NFDI4MobilTech          NFDI4Ing\n",
      "100    NFDI4MobilTech            ForumX\n",
      "101    NFDI4MobilTech        NFDI4Earth\n",
      "102          NFDI4MSE           FAIRmat\n",
      "103          NFDI4MSE          NFDI4Ing\n",
      "104          NFDI4MSE             MaRDI\n",
      "105          NFDI4MSE         NFDI4Chem\n",
      "106          NFDI4MSE            DAPHNE\n",
      "107             Text+      NFDI4Culture\n",
      "108             Text+        KonsortSWD\n",
      "109             Text+          NFDI4Ing\n",
      "110             Text+        NFDI4Earth\n",
      "111             Text+ NFDI4BioDiversity\n"
     ]
    }
   ],
   "source": [
    "nfdi_edges(2019)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### 2020"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# A tibble: 125 × 2\n",
      "                from                to\n",
      "              <fctr>            <fctr>\n",
      "1        BERD\\\\@NFDI        KonsortSWD\n",
      "2        BERD\\\\@NFDI             MaRDI\n",
      "3        BERD\\\\@NFDI       NFDI4Memory\n",
      "4        BERD\\\\@NFDI             Text+\n",
      "5        DAPHNE4NFDI           FAIRmat\n",
      "6        DAPHNE4NFDI      NFDI-MatWerk\n",
      "7        DAPHNE4NFDI          NFDI4Cat\n",
      "8        DAPHNE4NFDI         NFDI4Chem\n",
      "9        DAPHNE4NFDI       NFDI4Health\n",
      "10       DAPHNE4NFDI          NFDI4Ing\n",
      "11       DAPHNE4NFDI      NFDI4Objects\n",
      "12       DAPHNE4NFDI        PUNCH4NFDI\n",
      "13           FAIRmat       DAPHNE4NFDI\n",
      "14           FAIRmat         DataPLANT\n",
      "15           FAIRmat             MaRDI\n",
      "16           FAIRmat      NFDI-MatWerk\n",
      "17           FAIRmat          NFDI4Cat\n",
      "18           FAIRmat         NFDI4Chem\n",
      "19           FAIRmat  NFDI4DataScience\n",
      "20           FAIRmat          NFDI4Ing\n",
      "21           FAIRmat           NFDIxCS\n",
      "22           FAIRmat        PUNCH4NFDI\n",
      "23             MaRDI       BERD\\\\@NFDI\n",
      "24             MaRDI           FAIRmat\n",
      "25             MaRDI      NFDI-MatWerk\n",
      "26             MaRDI        NFDI-Neuro\n",
      "27             MaRDI          NFDI4Cat\n",
      "28             MaRDI         NFDI4Chem\n",
      "29             MaRDI          NFDI4Ing\n",
      "30             MaRDI        PUNCH4NFDI\n",
      "31      NFDI-MatWerk       DAPHNE4NFDI\n",
      "32      NFDI-MatWerk         DataPLANT\n",
      "33      NFDI-MatWerk           FAIRmat\n",
      "34      NFDI-MatWerk             MaRDI\n",
      "35      NFDI-MatWerk         NFDI4Chem\n",
      "36      NFDI-MatWerk  NFDI4DataScience\n",
      "37      NFDI-MatWerk          NFDI4Ing\n",
      "38      NFDI-MatWerk           NFDIxCS\n",
      "39        NFDI-Neuro         DataPLANT\n",
      "40        NFDI-Neuro              GHGA\n",
      "41        NFDI-Neuro NFDI4BioDiversity\n",
      "42        NFDI-Neuro      NFDI4Culture\n",
      "43        NFDI-Neuro        NFDI4Earth\n",
      "44        NFDI-Neuro       NFDI4Health\n",
      "45        NFDI-Neuro          NFDI4Ing\n",
      "46        NFDI-Neuro   NFDI4Microbiota\n",
      "47         NFDI4Agri         DataPLANT\n",
      "48         NFDI4Agri        KonsortSWD\n",
      "49         NFDI4Agri NFDI4BioDiversity\n",
      "50         NFDI4Agri        NFDI4Earth\n",
      "51         NFDI4Agri       NFDI4Health\n",
      "52         NFDI4Agri       NFDI4Immuno\n",
      "53         NFDI4Agri   NFDI4Microbiota\n",
      "54  NFDI4DataScience        KonsortSWD\n",
      "55  NFDI4DataScience             MaRDI\n",
      "56  NFDI4DataScience      NFDI-MatWerk\n",
      "57  NFDI4DataScience NFDI4BioDiversity\n",
      "58  NFDI4DataScience          NFDI4Cat\n",
      "59  NFDI4DataScience         NFDI4Chem\n",
      "60  NFDI4DataScience      NFDI4Culture\n",
      "61  NFDI4DataScience       NFDI4Health\n",
      "62  NFDI4DataScience          NFDI4Ing\n",
      "63  NFDI4DataScience   NFDI4Microbiota\n",
      "64  NFDI4DataScience           NFDIxCS\n",
      "65        NFDI4Earth         DataPLANT\n",
      "66        NFDI4Earth              GHGA\n",
      "67        NFDI4Earth        KonsortSWD\n",
      "68        NFDI4Earth         NFDI4Agri\n",
      "69        NFDI4Earth NFDI4BioDiversity\n",
      "70        NFDI4Earth          NFDI4Cat\n",
      "71        NFDI4Earth         NFDI4Chem\n",
      "72        NFDI4Earth      NFDI4Culture\n",
      "73        NFDI4Earth       NFDI4Health\n",
      "74        NFDI4Earth          NFDI4Ing\n",
      "75        NFDI4Earth      NFDI4Objects\n",
      "76       NFDI4Immuno              GHGA\n",
      "77       NFDI4Immuno         NFDI4Agri\n",
      "78       NFDI4Immuno       NFDI4Health\n",
      "79       NFDI4Immuno   NFDI4Microbiota\n",
      "80       NFDI4Memory       BERD\\\\@NFDI\n",
      "81       NFDI4Memory        KonsortSWD\n",
      "82       NFDI4Memory             MaRDI\n",
      "83       NFDI4Memory      NFDI4Culture\n",
      "84       NFDI4Memory      NFDI4Objects\n",
      "85       NFDI4Memory             Text+\n",
      "86   NFDI4Microbiota         DataPLANT\n",
      "87   NFDI4Microbiota              GHGA\n",
      "88   NFDI4Microbiota         NFDI4Agri\n",
      "89   NFDI4Microbiota NFDI4BioDiversity\n",
      "90   NFDI4Microbiota         NFDI4Chem\n",
      "91   NFDI4Microbiota  NFDI4DataScience\n",
      "92   NFDI4Microbiota       NFDI4Health\n",
      "93   NFDI4Microbiota       NFDI4Immuno\n",
      "94   NFDI4Microbiota          NFDI4Ing\n",
      "95      NFDI4Objects        KonsortSWD\n",
      "96      NFDI4Objects         NFDI4Agri\n",
      "97      NFDI4Objects NFDI4BioDiversity\n",
      "98      NFDI4Objects      NFDI4Culture\n",
      "99      NFDI4Objects        NFDI4Earth\n",
      "100     NFDI4Objects       NFDI4Memory\n",
      "101     NFDI4Objects             Text+\n",
      "102          NFDI4SD      NFDI4Culture\n",
      "103          NFDI4SD  NFDI4DataScience\n",
      "104          NFDI4SD       NFDI4Memory\n",
      "105          NFDI4SD      NFDI4Objects\n",
      "106          NFDIxCS           FAIRmat\n",
      "107          NFDIxCS             MaRDI\n",
      "108          NFDIxCS         NFDI4Chem\n",
      "109          NFDIxCS  NFDI4DataScience\n",
      "110          NFDIxCS        NFDI4Earth\n",
      "111          NFDIxCS          NFDI4Ing\n",
      "112       PUNCH4NFDI       DAPHNE4NFDI\n",
      "113       PUNCH4NFDI           FAIRmat\n",
      "114       PUNCH4NFDI              GHGA\n",
      "115       PUNCH4NFDI             MaRDI\n",
      "116       PUNCH4NFDI        NFDI4Earth\n",
      "117       PUNCH4NFDI          NFDI4Ing\n",
      "118       PUNCH4NFDI           NFDIxCS\n",
      "119            Text+        KonsortSWD\n",
      "120            Text+ NFDI4BioDiversity\n",
      "121            Text+      NFDI4Culture\n",
      "122            Text+        NFDI4Earth\n",
      "123            Text+          NFDI4Ing\n",
      "124            Text+       NFDI4Memory\n",
      "125            Text+      NFDI4Objects\n"
     ]
    }
   ],
   "source": [
    "nfdi_edges(2020)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Data vectors\n",
    "\n",
    "Following we present and explain the data and its origin. \n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Funded\n",
    "\n",
    "The values whether a consortia is funded or not cannot be calculated.\n",
    "Therefore we already passed the information as a column to the consortia above.\n",
    "\n",
    "The column `funded` has either the value `0` (consortium has *not* been funded) or `1` (consortium has been funded).\n",
    "Since we look at the consortia at the time of turning in binding Letters of Intent, \n",
    "for 2019 there is no value at all. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "lines_to_next_cell": 0,
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": [
     "remove_input",
     "remove_cell"
    ]
   },
   "outputs": [],
   "source": [
    "nfdi_funded <- function(nfdi_edges_year) {\n",
    "  \n",
    "  df <- data.frame(get(paste0(\"nfdi_nodes_\",nfdi_edges_year))) \n",
    "  \n",
    "  names(df)[1] <- \"Name\"\n",
    "  rownames(df) <- 1:nrow(df)\n",
    "  \n",
    "  df %>% select(1,3)\n",
    "\n",
    "}\n",
    "\n",
    "# nfdi_funded(2019)\n",
    "# nfdi_funded(2020)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "\n",
    "Now we can plot the networks and for 2020 we will highlight the funded consortia."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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tFoMjMz+VLDoaGhIy9IS0vT6/UODg4rVqyYniaNz8fHx8HBAVvHAsxQCHYAto4P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tcLncYcbOr776ik6n7927d8IJ6PX6pqam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\n3v8aNAYOxhBWN36/+sILNWdmHWH7DgjWC3LF+tVYVVUVsqH29fU1NDSEQ3L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DkVgKBgAtGlu5lAUAKQkcYEgguwzuhC1uGdxu90Z2+kpO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\n6gOOAAAYTklEQVSEudH5IpU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Coq0ul0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\nAACgEAQ7AAAAhSDYAQAAKMT/ByzA/ewjNUqJAAAAAElFTkSuQmCC",
      "text/plain": [
       "Plot with title “”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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zvGE0NCCS38dxJ5X5cWAOBjAsEOYB7U1ta2t7czDLN58+YblOqIqKuri4jS09MD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O0+n0hYWFvLy8K1sjABeF3czMDIZhcMDG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\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7OyslKtVpeWli44dMvn8129erWpqUmt\nVufl5W3ZsmWZwUsuCjYajRMTEyqVKj4+Pi0tjUeuABSD32VQJpVKpdfrFxnsXC6Xf511FzQ0\nNFRTU6PVavft27ei9bbzkLfcXblypbGx8dSpUyUlJVO33O3atctsNsuTZI8ePbrg1eZasZO/\n6nlG1sokSaqqqnI6ncXFxQt2exkdHa2pqRkbG1u3bl1RUdFyusM4HI6urq6uri75PnU6XVZW\nlsFgoBEdAIUh2EGxoqKiurq63G73gstCcmdd/2YezMNisVRUVKhUqrKystc2QKhUqry8vOjo\n6IsXL5aXlxcWFqalpU2+KhfJ2u328vLyu+++e/5LycFu5oqdXBK7YPVoQ0PD0NBQVlbW/CNc\nJUm6cePG9evXhRDyGFz/FurcbndPT09nZ+fQ0JAkSVqtdvPmzWlpaUtttgcArxcEOyiWvBPL\nYrEs+HxQ7qwb2GFiDofjpZde8ng8paWlqzOmbEGpqamRkZGVlZU1NTVms3nHjh2TaUmeJDs0\nNFRXV1dYWDjPReR1x5krdm63OygoaP6Cht7eXnmvYV5e3jynWa3W6urqkZGR6OjooqIiP0qV\n5VmuXV1dctcStVqdnJxsMBgSExNXaHosANwhCHZQrMn6iQWDnTxKIYDDxORGxHa7vaioaMOG\nDYG67PLFxsYeOnSosrKyubnZbDYXFxfLK3AhISF333336dOn29raYmJiZp1aIVOpVBqNZtqK\nnfwse/5VSZvNVl1drdVq9+7dO0+6am1tvXz5ss/n27p1a25u7lJz2MjISFdXl7yFTggRHx9v\nMBhSUlJeq+fgALDKCHZQLDnYLWaw2Pj4uFjcxv/FmGxEnJeXN/WJ5x1Cq9W+4Q1vkLfcnTx5\ncnLLXUxMTFFRUXV1dW1trU6nm6dFXEhIyLRgJ5fEzvMs2+v1VlVVeTyeffv2zbWX0el0Xrx4\nsa+vLyIioqioaEk96sbHx+UtdFarVQih0+kyMzMNBgNdSwCsNQQ7KFZ4eLhGo1lM/YS8Dy9Q\nD+kuXrw4MDCwadOm7OzsgFww4OQtd1FRUbW1tX/9618LCwvT09OFEAaDwWazXbt27ezZs/fd\nd99cK3BardbpdE49IpfEzvPMtLa2dnR0NC8vb67qiu7u5I9PoAAAGThJREFU7rq6OpfLlZGR\nkZ+fv8gaVZfLZTQajUajfAOhoaFynmMLHYA1i2AHJYuKirJYLPOfIw8TC9RYqoaGhq6uruTk\n5J07dwbkgivHYDDo9frKysqLFy+aTCa5y11ubu7o6Ghvb++pU6ceeOCBWcNuSEjItG9VTs9z\nPXRua2vr6upKSkqaNem63e5Lly51dXVptdrS0tKkpKQF79zr9Q4MDMhb6Hw+X1BQ0MaNGw0G\nw4YNG9hCB2CNI9hByaKiooaHh51O5zwN6vr7+8Urz22Xqa2trbGxMTY2dpUbEfstJibm4MGD\nk13u9u7dK6erv/zlLxaL5eTJk0eOHJn5rpCQEI/HM3UO7zwlsWazub6+Pjw8vKioaOarJpOp\nurraZrNt2LBh9+7d83eckSRpcHBQznNut1ulUm3YsCE1NTU5OZkudAAg47chlEze9TU2NjZP\nsFt8Z9359fb2Xrp0KTIysqys7HWUM7Ra7f79++vr61taWk6dOiUPlj18+PCJEyfkdi0lJSXT\n3jLZo3jyW3W5XLOWxLpcroqKCiFESUnJtPIFSZKuX79+/fp1tVpdUFAw/2CxkZER+ZGr/Ag4\nNjbWYDBs3LhxJRpKA8Dr2uvmPz+AHyY7nszTOFd+qrhgZ935mUymqqoqOSQF6qnuqlGpVAUF\nBevWrbt48eJf//rXnTt3ZmRkHD58+Pnnn+/p6WloaLitO4nPtS64RxVlVPf+QQR5hUbnlsLi\ntCOOoOnT2CRJqq6uHh8f371797SGL1ar9cKFC6Ojo/Lq5lydh+12u9Fo7OjokEsiwsPDs7Oz\n09PTl9OpGACUjWAHJVvMxFi73a5SqZbTas5isZw7d05uRPz6LcNMTU3V6XQVFRW1tbVmszk/\nP3///v3l5eWNjY1RUVEGg0FYG8XgX4XlmsHnMcQJMdoiv1EjxN3JwiNdFZ3DYsO9IvRW15jG\nxsa+vr709HS5MmNSW1vb5cuXvV7vXA1NnE5nd3d3V1fXyMiIECI0NDQrKys1NZWSCABYEMEO\nSqbVakNDQ+cPdh6PZzkjXO/ARsR+i4mJOXTo0IULF1pbW81m8969e3ft2lVbW9tYX540btI4\nmoVQCSHN+t5gtVuYLoiRarGuWCS/ZXDEcfXq1aioqKlFJBMTE7W1tT09PeHh4Xv27JnW0MTt\ndt+8edNoNA4ODkqSpNFo0tLSDAZDQkLC62LDIgDcCQh2ULioqCiTyTTXq2NjY5Ik+T0l9o5t\nROw3eaxtQ0NDU1PTqVOniouLd2WGpnpeDHZ4hRBzpTohhJCkW68PV0hjV2/0bAsO1pWUlEyG\n5v7+/pqaGqfTmZqaWlhYODnnzefz9ff3d3d39/T0eDwetVqdmJiYkpKSkpLyOtqqCAB3CH5v\nQuH0ev3AwIDdbp+1K9vAwIDwtyR2shHxjh077sBGxH5TqVQ7duyIjY29ePGise6ZnXGNYgkt\nRCQhhMptKY2rGo17LDIyUgjh8/kaGhqam5s1Gs2ePXsMBoMQQpKkgYEBo9E4WeKakJCQmpqa\nkpKy4GxfAMBcCHZQuMltdrMGO3kxz4/NW5Ik1dTUDAwMZGZmbtmyZfn3eafZuHFjbHB/eO/J\n+Vbp5iQFqUWc5bdiItMyob1w4YLZbI6Li9uzZ09ERITJZDIajd3d3ZMlrqmpqampqZS4AsDy\nEeygcHLHE4vFMusoWL9LYi9fvmw0GlNSUvLz85d/k3citzli4Bdz76lbkCS8DteNr59pL/B4\npW3btiUlJbW3txuNRnmAm06n27x5c2pqqryqBwAICIIdFG7+wliHw+FHSWxTU1Nzc3N8fPwd\n3ohYpVLtOl5+8ck3TDsoSZL8LzPfMvOl9cmxJYXp3/zkzuSQVw+qdv1Aqn3/Ah8vSV7TxYce\n/ldN+JY//P4bV69eFUKEh4dv2bIlNTV1Md/55K0CABaJYAeF02g0YWFhcw0Wc7vdS92hbzQa\nGxoaoqKiplYG3LHqvnrfMx8ceNQwe+O3l19+ea43vvzLvxFCknzezo6RP/7m4rZ3mJp+fSgh\neM4Ua+vr2PzQ6f6qx6cebPzty0EhEW5709Mdpk8UbUlNTY2Li1t8FD5+/PgizwQAyAh2UL6o\nqKihoSFJkqZFCpvNJknSkrZ2DQ4O1tTUhIaGlpWVTRulcGf6bKHuQ/f801tbf6SdLU3N8xw5\nP+vWvsOC7IQ337v5s+/65cP/Yz73ttmX2bwu69+8q3zAPX117cu/MWccPLKl6lTtmdjCDxYu\n9eaffPLJpb4FANY4BmZD+fR6vdfrtdvt047LJbGL3+M1NjZWUVERFBRUVlY2aynGHehTf/6F\n9ubPjv7nnCtzc5vy4FUd/NEvZDX8rGX2EyXfv/7TicGDd087bDc1/XbU8+gH4p44uq77Lx93\n+l59qePkt+8pyo0Ki8kvu+93N8yTgVulUlk7f3N3XnLZz5rFHA+LAQDzINhB+ebaZicPNljk\nBrvx8fGzZ8/6fL7S0tLo6OiA3+QKCY09eOrfD5Z/8vALw87Fvsc1KoSYVjShT95qN7fPenr5\nD5//li2j4uPp045f/fmVkPC4TyeF5DyS7h6/9rkm+bJi9PpXc97ynSMf/WpVQ8VXPnzoi2W3\nreS948A3jnz4K18+MH1AGQBgMQh2UL7Jwthpx+Wol5CQsOAVJiYmXnrppYmJiZnzEu58ef9w\n4r0Gz2P3fsE34yXV7T7WPiaEEK6RmRcJDon0usdnHu+pqT36K+/p7+8Jm/G75HMnxlL37QlW\nCX3c1u0Rmt9+qlI+/u2Hv/z235/8xNvfmJOZc/itH3n+v29b6st95n+O/907S1Ner5PZAOC1\nxR47KJ8c7Gau2Ml9N+Li4uZ/u9frPX/+vNVq3blzZ0pKygrd5ApShXztzHd+kfHYO595768e\nzZz6SkdHx9Qf9Sl6IYRwz1JB7HHZgoKnh60J6839H7/+rZ+9PW9GrLMNXn3B4n38wdDOXqsQ\n4kPbYj506mPjvvsi1KrvtI/VT1mQS9z3L0L8aPLH47sXztkAgLkQ7KB8Go0mPDx85oqdy+VS\nq9Uzh9BPJUnShQsXTCbT1q1bN2/evJK3uYIiUx/58/GvH3j8yMcebJx6fPaBGZJ75jFLz43w\nmIxpB21D19vszve99afve+WIatcPdrz7ofoPxdX/13UhxA8/+Psfvnr64BPXRr6+fZ1bkqZu\nnZN8jqnXjJ278BYAsCCCHdYEvV4/rTDW5XItZkqsPLTeYDBs37595W9zBZX9y6n7fpT0loe/\nu+CZE77pZcKSz/O1zzfnveuBacdjUss6ThRP/pj+pl91nHhHSGSEENInX7Cm7b+34z8Mt66Q\n96Wc6OQ/HD//9ecffPeGyCde7PuvQ7cW7QYu/Lv/fyoAwO0IdlgT9Hp9f3+/3W6PiLj1PFEu\niZ2/uPXq1asdHR2JiYlFRUWrcZcrSRUU9ZNTX0rY8ZFZX/X5fJ2dnV1dXWazOVSYhRD1zSYh\nhOTzdnWOPPvri3+0JzY/NL1kRB0clpZ025G0JJ0QYqzn5Ypx7xf/6ZVRH2qNShP/zTcZ7nv2\no1bvmz72kw+kPXg4+8dfu78wrffyC8c/eJbqVwAIFIId1oTJwtjJYCdPiZ2nJLa9vf369eux\nsbHFxcXKSB6x2z/ym/d8/+EfN00eGRwcbG9vHxoacjhefR4aHBorhCh45PfyjwlJsSWFOVc/\ntTN+0Q9J6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YAQAAKATBDgAAQCEIdgAA\nAApBsAMAAFAIgh0AAIBC/H+5BlF7mIRAPwAAAABJRU5ErkJggg==",
      "text/plain": [
       "Plot with title “”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nfdi_plot<- function(nfdi_edges_year) {\n",
    "  \n",
    "  nfdi_presettings(nfdi_edges_year,FALSE)\n",
    "  \n",
    "    colrs <- c(\"#ffcc66\",\"#acd69a\")\n",
    "    \n",
    "    nfdi_local_network <- function() {\n",
    "        plot(nfdi_network_year,\n",
    "        vertex.color        = colrs[V(nfdi_network_year)$funded + 1 ],\n",
    "        vertex.frame.color  = colrs[V(nfdi_network_year)$funded + 1 ]\n",
    "        )\n",
    "    }\n",
    "    pdf(paste0(\"network_\",nfdi_edges_year,\".pdf\"))\n",
    "     nfdi_local_network()\n",
    "    dev.off()\n",
    "    \n",
    "    nfdi_local_network()\n",
    "\n",
    "}\n",
    "\n",
    "nfdi_plot(2019)\n",
    "nfdi_plot(2020)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## NFDI conference system (`group`) \n",
    "\n",
    "Each consortium has been allocated to a group which is known as the NFDI conference system.\n",
    "\n",
    "In the first column you see the consortia’s name in the second column (`group`) the number of the allocated group.\n",
    "There are five groups and each has a special color code.\n",
    "\n",
    "| No. | Conference group             | Color code |\n",
    "|:---:|-------------------------|:-------------:|\n",
    "| (1) | Medizin                 |   `#f5ac9f`   |\n",
    "| (2) | Lebens- und Geowissenschaften    |   `#e43516`   |\n",
    "| (3) | Geistes- und Sozialwissenschaften   |   `#f9b900`   |\n",
    "| (4) | Ingenieurwissenschaften und Mathemaik |   `#007aaf`   |\n",
    "| (5) | Chemie und Physik           |   `#6ca11d`   |\n",
    "\n",
    ": NFDI Conference system. Each consortia is allocated to one specific group.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "lines_to_next_cell": 2,
    "slideshow": {
     "slide_type": "subslide"
    },
    "tags": [
     "remove_input",
     "remove_cell"
    ]
   },
   "outputs": [],
   "source": [
    "nfdi_group <- function(nfdi_edges_year) {\n",
    "\n",
    "  df <- data.frame(get(paste0(\"nfdi_nodes_\",nfdi_edges_year)))\n",
    "  \n",
    "  names(df)[1] <- \"Name\"\n",
    "  rownames(df) <- 1:nrow(df)\n",
    "\n",
    "  df %>% select(1,2)      \n",
    "}\n",
    "\n",
    "# nfdi_group(2019)\n",
    "# nfdi_group(2020)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Plotting grouped network\n",
    "\n",
    "First we are defining a common legend for the networks, since we want to be able to differentiate the various groups the consortia are colored in."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "nfdi_plot_legend <- function(){\n",
    "    \n",
    "       legend(\"bottomright\",   # x-position\n",
    "       title  = \"NFDI-Konferenzsystematik\", # title\n",
    "       legend = c(\n",
    "           \"(1)\",\n",
    "           \"(2)\",\n",
    "           \"(3)\",\n",
    "           \"(4)\",\n",
    "           \"(5)\"\n",
    "       ),  # the text of the legend\n",
    "       col    = nfdi_color_code,  # colors of lines and points beside the legend text\n",
    "       pch    = 20,     # the plotting symbols appearing in the legend\n",
    "       bty    = \"n\",    # no frame, the type of box to be drawn around the legend (n=no frame)\n",
    "       cex    = .75,    # character expansion factor relative to current par(\"cex\").\n",
    "       pt.cex = 2,       # expansion factor(s) for the points\n",
    "             ncol = 5,\n",
    ")\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Now we can go on and plot the network with colored consortia nodes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "lines_to_next_cell": 0,
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": [
     "remove_input",
     "remove_cell"
    ]
   },
   "outputs": [
    {
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IcPHz5//rzNZpv9ZwMAgPmDYAdwXbPb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\ngB++f+H/gdYBgPxEePUBOPQ3kIjAjQOQIDnf8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YQdAPB4vObm5uHh4cXFxUePHtXV1UXyxE9JSeFyud3d3d3d3QUFBQUFBWEXix30Mo8g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\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oeHCSEymSwxMTE6Oho7RgDAHIdgB9zk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\nlnp2N9agLPD2P9tFA6/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      "text/plain": [
       "Plot with title “”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nfdi_plot_group <- function(nfdi_edges_year) {\n",
    "  \n",
    "  nfdi_presettings(nfdi_edges_year,FALSE)\n",
    "\n",
    "\n",
    "  pdf(paste0(\"network_group_\",nfdi_edges_year,\".pdf\"))\n",
    "  plot(nfdi_network_year)    \n",
    "  nfdi_plot_legend()\n",
    "  dev.off()\n",
    "\n",
    "    \n",
    "  plot(nfdi_network_year)\n",
    "  nfdi_plot_legend()\n",
    "\n",
    "}\n",
    "\n",
    "# nfdi_plot_group(2019)\n",
    "nfdi_plot_group(2020)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Cluster\n",
    "\n",
    "The value of the column `cluster` has been calculated by the function `cluster_optimal`. Each consortia is allocated to a cluster. \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": [
     "remove_input",
     "remove_cell"
    ]
   },
   "outputs": [],
   "source": [
    "nfdi_list_cluster <- function(nfdi_edges_year) {\n",
    "  nfdi_presettings(nfdi_edges_year,TRUE)\n",
    "  \n",
    "  liste <- list(y=c(membership(cluster_optimal(nfdi_network_year))))\n",
    "   df = with(data=liste, \n",
    "             expr=data.frame(y))\n",
    "\n",
    "    \n",
    "   df <- cbind(Name = rownames(df), df)\n",
    "   rownames(df) <- 1:nrow(df)\n",
    "   names(df) <- c(\"Name\",\"cluster\")\n",
    "\n",
    "  \n",
    "  df\n",
    "  \n",
    "}\n",
    "\n",
    "# nfdi_list_cluster(2019)\n",
    "# nfdi_list_cluster(2020)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Plotting clustered network\n",
    "\n",
    "With the algorithm `cluster_optimal` we can do a community detection."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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OGeQxy14lQbeVrTIlV5u6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",
      "text/plain": [
       "Plot with title “”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nfdi_plot_cluster <- function(nfdi_edges_year) {\n",
    "  \n",
    "  nfdi_presettings(nfdi_edges_year,FALSE)\n",
    "  \n",
    "  nfdi_network_year_cluster <- cluster_optimal(nfdi_network_year)\n",
    "\n",
    "  nfdi_local_network <- function() {\n",
    "    plot(nfdi_network_year_cluster,\n",
    "       nfdi_network_year,\n",
    "       edge.color         = NA,\n",
    "       col                = nfdi_color_groups, #color of nodes\n",
    "       mark.col           = \"grey\",      # color groups\n",
    "       mark.border        = NA,          # no border color\n",
    "     )\n",
    "  \n",
    "    nfdi_plot_legend()\n",
    "  }\n",
    "  \n",
    "    pdf(paste0(\"network_cluster_\",nfdi_edges_year,\".pdf\"))\n",
    "     nfdi_local_network()\n",
    "    dev.off()\n",
    "    \n",
    "     nfdi_local_network()\n",
    "}\n",
    "\n",
    "# nfdi_plot_cluster(2019)\n",
    "nfdi_plot_cluster(2020)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Now we are hightlighting only the connections of consortia between different clusters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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fkb3+gfuij7iitztbnAfF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\nRK5CYII=",
      "text/plain": [
       "Plot with title “”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nfdi_plot_cluster_trans <- function(nfdi_edges_year) {\n",
    "  \n",
    "  nfdi_presettings(nfdi_edges_year,FALSE)\n",
    "  \n",
    "  nfdi_network_year_cluster <- cluster_optimal(nfdi_network_year)\n",
    "\n",
    "    nfdi_local_network <- function() {\n",
    "     plot(nfdi_network_year_cluster,\n",
    "       nfdi_network_year,             # loading data frame\n",
    "     col                = nfdi_color_groups, #color of nodes\n",
    "     mark.col           = \"grey\",      # color groups\n",
    "     mark.border        = NA,          # no border color\n",
    "     edge.color = c(NA, \"#bf4040\")[crossing(nfdi_network_year_cluster, nfdi_network_year) + 1], # color of edges\n",
    "     )\n",
    "    nfdi_plot_legend()\n",
    "    }\n",
    "\n",
    "\n",
    "    pdf(paste0(\"network_cluster_trans_\",nfdi_edges_year,\".pdf\"))\n",
    "      nfdi_local_network()\n",
    "    dev.off()\n",
    "    \n",
    "   nfdi_local_network()\n",
    "\n",
    "}\n",
    "\n",
    "\n",
    "# nfdi_plot_cluster_trans(2019)\n",
    "nfdi_plot_cluster_trans(2020)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Amount of edges \n",
    "\n",
    "There are three different ways of counting edges to a node: \n",
    "all, incoming ones and outgoing ones. \n",
    "\n",
    "**All edges (`degree.total`)**\n",
    "\n",
    "We get all the edges with the function \n",
    "\n",
    "```\n",
    "degree(<GRAPH-OF-DATA-FRAME>, mode=\"total\")\n",
    "``` \n",
    "\n",
    "and receive the following table. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "lines_to_next_cell": 2,
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": [
     "remove_input",
     "remove_cell"
    ]
   },
   "outputs": [],
   "source": [
    "nfdi_degree_total_filtered <- function(nfdi_edges_year) {\n",
    "\n",
    "   nfdi_presettings(nfdi_edges_year,TRUE)\n",
    "  \n",
    "   df <- data.frame(degree(nfdi_network_year,\n",
    "       mode = \"total\"))\n",
    "   names(df)[1] <- \"degree.total\"\n",
    "   df <- cbind(Name = rownames(df), df)\n",
    "   rownames(df) <- 1:nrow(df)\n",
    "\n",
    "   df\n",
    "      \n",
    "}\n",
    "\n",
    "#nfdi_degree_total_filtered(2019)\n",
    "#nfdi_degree_total_filtered(2020)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "**Incoming edges (`degree.in`)**\n",
    "\n",
    "For counting incomgin edges a directed network is necessary.\n",
    "Then the function `degree` with a different value for `mode` is applied. \n",
    "\n",
    "```\n",
    "degree(<GRAPH-OF-DATA-FRAME>, mode=\"in\")\n",
    "``` \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "lines_to_next_cell": 0,
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": [
     "remove_input",
     "remove_cell"
    ]
   },
   "outputs": [],
   "source": [
    "nfdi_degree_in <- function(nfdi_edges_year) {\n",
    "   nfdi_presettings(nfdi_edges_year,TRUE)\n",
    "  \n",
    "   df <- data.frame(degree(nfdi_network_year,\n",
    "                           mode = \"in\"))\n",
    "   names(df)[1] <- \"degree.in\"\n",
    "   df <- cbind(Name = rownames(df), df)\n",
    "   rownames(df) <- 1:nrow(df)\n",
    "\n",
    "   df\n",
    "      \n",
    "}\n",
    "\n",
    "# nfdi_degree_in(2019)\n",
    "# nfdi_degree_in(2020)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "**Outgoing edges (`degree.out`)**\n",
    "\n",
    "As before the function `degree` with a different value for `mode` is applied. \n",
    "\n",
    "```\n",
    "degree(<GRAPH-OF-DATA-FRAME>, mode=\"out\")\n",
    "``` \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": [
     "remove_input",
     "remove_cell"
    ]
   },
   "outputs": [],
   "source": [
    "nfdi_degree_out <- function(nfdi_edges_year) {\n",
    "   nfdi_presettings(nfdi_edges_year,TRUE)\n",
    "  \n",
    "   df <- data.frame(degree(nfdi_network_year,\n",
    "                           mode = \"out\"))\n",
    "   names(df)[1] <- \"degree.out\"\n",
    "   df <- cbind(Name = rownames(df), df)\n",
    "   rownames(df) <- 1:nrow(df)\n",
    "   df\n",
    "      \n",
    "}\n",
    "\n",
    "#nfdi_degree_out(2019)\n",
    "#nfdi_degree_out(2020)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Vertex and edge betweenness centrality (`betweenness`)\n",
    "\n",
    "The vertex betweenness has been calculated by the function `betweenness()`^[https://igraph.org/r/doc/betweenness.html].\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": [
     "remove_input",
     "remove_cell"
    ]
   },
   "outputs": [],
   "source": [
    "nfdi_betweenness <- function(nfdi_edges_year) {\n",
    "   nfdi_presettings(nfdi_edges_year,TRUE)\n",
    "\n",
    "   df <- data.frame(betweenness(nfdi_network_year,\n",
    "                                v=V(nfdi_network_year)))\n",
    "  \n",
    "   names(df)[1] <- \"betweenness\"\n",
    "   df <- cbind(Name = rownames(df), df)\n",
    "   rownames(df) <- 1:nrow(df)\n",
    "  df\n",
    "  \n",
    "}\n",
    "\n",
    "#nfdi_betweenness(2019)\n",
    "#nfdi_betweenness(2020)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Closeness centrality \n",
    "\n",
    "> Clo[se]ness centrality measures how many steps is required to access every other vertex from a given vertex.^[https://igraph.org/r/doc/closeness.html]\n",
    "\n",
    "Thereby we can differentiate between three different ways of closeness centrality."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "**`closeness.total`**\n",
    "\n",
    "```\n",
    "closeness(<GRAPH-OF-DATA-FRAME>, mode=\"total\")\n",
    "``` \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "message": false,
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": [
     "remove_input",
     "remove_cell"
    ],
    "warning": false
   },
   "outputs": [],
   "source": [
    "nfdi_closeness_total <- function(nfdi_edges_year) {\n",
    "   nfdi_presettings(nfdi_edges_year,TRUE)\n",
    "\n",
    "   df <- data.frame(closeness(nfdi_network_year,\n",
    "                                mode=\"total\"))\n",
    "  \n",
    "   names(df)[1] <- \"closeness.total\"\n",
    "   df <- cbind(Name = rownames(df), df)\n",
    "   rownames(df) <- 1:nrow(df)\n",
    "  df\n",
    "\n",
    "}\n",
    "\n",
    "#nfdi_closeness_total(2019)\n",
    "#nfdi_closeness_total(2020)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "**`closeness.in`**\n",
    "\n",
    "```\n",
    "closeness(<GRAPH-OF-DATA-FRAME>, mode=\"in\")\n",
    "``` "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "message": false,
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": [
     "remove_input",
     "remove_cell"
    ],
    "warning": false
   },
   "outputs": [],
   "source": [
    "nfdi_closeness_in <- function(nfdi_edges_year) {\n",
    "   nfdi_presettings(nfdi_edges_year,TRUE)\n",
    "\n",
    "   df <- data.frame(closeness(nfdi_network_year,\n",
    "                                mode=\"in\"))\n",
    "  \n",
    "   names(df)[1] <- \"closeness.in\"\n",
    "   df <- cbind(Name = rownames(df), df)\n",
    "   rownames(df) <- 1:nrow(df)\n",
    "  df\n",
    "\n",
    "}\n",
    "\n",
    "#nfdi_closeness_in(2019)\n",
    "#nfdi_closeness_in(2020)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "**`closeness.out`**\n",
    "\n",
    "```\n",
    "closeness(<GRAPH-OF-DATA-FRAME>, mode=\"out\")\n",
    "``` "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "lines_to_next_cell": 0,
    "message": false,
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": [
     "remove_input",
     "remove_cell"
    ],
    "warning": false
   },
   "outputs": [],
   "source": [
    "nfdi_closeness_out <- function(nfdi_edges_year) {\n",
    "   nfdi_presettings(nfdi_edges_year,TRUE)\n",
    "\n",
    "   df <- data.frame(closeness(nfdi_network_year,\n",
    "                                mode=\"out\"))\n",
    "  \n",
    "   names(df)[1] <- \"closeness.out\"\n",
    "   df <- cbind(Name = rownames(df), df)\n",
    "   rownames(df) <- 1:nrow(df)\n",
    "  df\n",
    "\n",
    "}\n",
    "\n",
    "#nfdi_closeness_out(2019)\n",
    "#nfdi_closeness_out(2020)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Data Collection\n",
    "\n",
    "Here is an overview of all the data we have gathered so far."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "lines_to_next_cell": 0,
    "message": false,
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": [
     "remove_input"
    ],
    "warning": false
   },
   "outputs": [],
   "source": [
    "nfdi_data_set <- function(nfdi_edges_year) {\n",
    "  d1 <- nfdi_funded(nfdi_edges_year)\n",
    "  d2 <- nfdi_group(nfdi_edges_year)\n",
    "  d3 <- nfdi_list_cluster(nfdi_edges_year)\n",
    "  d4 <- nfdi_degree_in(nfdi_edges_year)\n",
    "  d5 <- nfdi_degree_out(nfdi_edges_year)\n",
    "  d6 <- nfdi_degree_total_filtered(nfdi_edges_year)\n",
    "  d7 <- nfdi_betweenness(nfdi_edges_year)\n",
    "  d8 <- nfdi_closeness_in(nfdi_edges_year)\n",
    "  d9 <- nfdi_closeness_out(nfdi_edges_year)\n",
    "  d10 <-nfdi_closeness_total(nfdi_edges_year)\n",
    "  \n",
    "  df <- d1 %>% inner_join(d2, by = \"Name\") %>% \n",
    "               full_join(d3, by = \"Name\") %>%\n",
    "               full_join(d4, by = \"Name\") %>% \n",
    "               full_join(d5, by = \"Name\") %>% \n",
    "               full_join(d6, by = \"Name\") %>% \n",
    "               full_join(d7, by = \"Name\") %>% \n",
    "               full_join(d8, by = \"Name\") %>% \n",
    "               full_join(d9, by = \"Name\") %>% \n",
    "               full_join(d10, by = \"Name\") %>% \n",
    "               arrange(Name) %>% \n",
    "               replace(., is.na(.), \"\")\n",
    "\n",
    "  write.csv(df, paste0(\"nfdi_data_set\",nfdi_edges_year,\".csv\"))\n",
    "   df\n",
    "}\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## 2019"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>Name</th><th scope=col>funded</th><th scope=col>group</th><th scope=col>cluster</th><th scope=col>degree.in</th><th scope=col>degree.out</th><th scope=col>degree.total</th><th scope=col>betweenness</th><th scope=col>closeness.in</th><th scope=col>closeness.out</th><th scope=col>closeness.total</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>Astro-NFDI       </td><td>0                </td><td>5                </td><td>1                </td><td> 2               </td><td>3                </td><td> 5               </td><td>  5.975000       </td><td>0.01408451       </td><td>0.018518519      </td><td>0.02083333       </td></tr>\n",
       "\t<tr><td>BERD\\@NFDI      </td><td>0                </td><td>3                </td><td>2                </td><td> 2               </td><td>3                </td><td> 5               </td><td>  2.000000       </td><td>0.01250000       </td><td>0.017543860      </td><td>0.01923077       </td></tr>\n",
       "\t<tr><td>DAPHNE           </td><td>0                </td><td>5                </td><td>1                </td><td> 5               </td><td>7                </td><td>12               </td><td> 16.019048       </td><td>0.01388889       </td><td>0.022222222      </td><td>0.02325581       </td></tr>\n",
       "\t<tr><td>DataPLANT        </td><td>0                </td><td>2                </td><td>3                </td><td> 2               </td><td>3                </td><td> 5               </td><td>  1.416667       </td><td>0.01333333       </td><td>0.020000000      </td><td>0.02127660       </td></tr>\n",
       "\t<tr><td>FAIRmat          </td><td>0                </td><td>5                </td><td>1                </td><td> 6               </td><td>6                </td><td>12               </td><td> 10.063889       </td><td>0.01538462       </td><td>0.021739130      </td><td>0.02272727       </td></tr>\n",
       "\t<tr><td>ForumX           </td><td>0                </td><td>3                </td><td>2                </td><td> 3               </td><td>5                </td><td> 8               </td><td> 11.720635       </td><td>0.01333333       </td><td>0.020000000      </td><td>0.02173913       </td></tr>\n",
       "\t<tr><td>GHGA             </td><td>0                </td><td>1                </td><td>3                </td><td> 2               </td><td>2                </td><td> 4               </td><td>  0.000000       </td><td>0.01315789       </td><td>0.018518519      </td><td>0.01851852       </td></tr>\n",
       "\t<tr><td>KonsortSWD       </td><td>0                </td><td>3                </td><td>3                </td><td> 8               </td><td>5                </td><td>13               </td><td> 33.279762       </td><td>0.01612903       </td><td>0.021739130      </td><td>0.02380952       </td></tr>\n",
       "\t<tr><td>MaRDI            </td><td>0                </td><td>4                </td><td>1                </td><td> 4               </td><td>6                </td><td>10               </td><td>  9.225000       </td><td>0.01428571       </td><td>0.021276596      </td><td>0.02325581       </td></tr>\n",
       "\t<tr><td>NFDI4Agri        </td><td>0                </td><td>2                </td><td>3                </td><td> 5               </td><td>5                </td><td>10               </td><td>  8.885714       </td><td>0.01492537       </td><td>0.020833333      </td><td>0.02222222       </td></tr>\n",
       "\t<tr><td>NFDI4BioDiversity</td><td>0                </td><td>2                </td><td>3                </td><td> 8               </td><td>8                </td><td>16               </td><td> 57.990476       </td><td>0.01754386       </td><td>0.025000000      </td><td>0.02857143       </td></tr>\n",
       "\t<tr><td>NFDI4Cat         </td><td>0                </td><td>5                </td><td>1                </td><td> 3               </td><td>4                </td><td> 7               </td><td>  0.000000       </td><td>0.01333333       </td><td>0.020833333      </td><td>0.02173913       </td></tr>\n",
       "\t<tr><td>NFDI4Chem        </td><td>0                </td><td>5                </td><td>1                </td><td> 9               </td><td>7                </td><td>16               </td><td> 75.065079       </td><td>0.01724138       </td><td>0.025641026      </td><td>0.02777778       </td></tr>\n",
       "\t<tr><td>NFDI4Crime       </td><td>0                </td><td>2                </td><td>3                </td><td> 2               </td><td>3                </td><td> 5               </td><td>  1.616667       </td><td>0.01388889       </td><td>0.020000000      </td><td>0.02040816       </td></tr>\n",
       "\t<tr><td>NFDI4Culture     </td><td>0                </td><td>3                </td><td>2                </td><td> 4               </td><td>3                </td><td> 7               </td><td>  7.630556       </td><td>0.01492537       </td><td>0.019607843      </td><td>0.02222222       </td></tr>\n",
       "\t<tr><td>NFDI4Earth       </td><td>0                </td><td>2                </td><td>3                </td><td> 8               </td><td>5                </td><td>13               </td><td> 48.296429       </td><td>0.01754386       </td><td>0.023809524      </td><td>0.02777778       </td></tr>\n",
       "\t<tr><td>NFDI4Health      </td><td>0                </td><td>1                </td><td>3                </td><td> 6               </td><td>7                </td><td>13               </td><td> 32.397222       </td><td>0.01612903       </td><td>0.024390244      </td><td>0.02631579       </td></tr>\n",
       "\t<tr><td>NFDI4Ing         </td><td>0                </td><td>4                </td><td>1                </td><td>11               </td><td>9                </td><td>20               </td><td>123.969841       </td><td>0.01851852       </td><td>0.027027027      </td><td>0.03030303       </td></tr>\n",
       "\t<tr><td>NFDI4Medicine    </td><td>0                </td><td>1                </td><td>3                </td><td> 6               </td><td>7                </td><td>13               </td><td> 54.310317       </td><td>0.01666667       </td><td>0.024390244      </td><td>0.02631579       </td></tr>\n",
       "\t<tr><td>NFDI4MobilTech   </td><td>0                </td><td>4                </td><td>2                </td><td> 1               </td><td>3                </td><td> 4               </td><td>  5.461905       </td><td>0.01351351       </td><td>0.020833333      </td><td>0.02222222       </td></tr>\n",
       "\t<tr><td>NFDI4MSE         </td><td>0                </td><td>5                </td><td>1                </td><td> 4               </td><td>5                </td><td> 9               </td><td>  2.880556       </td><td>0.01428571       </td><td>0.021276596      </td><td>0.02222222       </td></tr>\n",
       "\t<tr><td>PAHN-PaN         </td><td>0                </td><td>5                </td><td>1                </td><td> 4               </td><td>0                </td><td> 4               </td><td>  0.000000       </td><td>0.02000000       </td><td>0.001976285      </td><td>0.02000000       </td></tr>\n",
       "\t<tr><td>Text+            </td><td>0                </td><td>3                </td><td>2                </td><td> 6               </td><td>5                </td><td>11               </td><td> 32.795238       </td><td>0.01612903       </td><td>0.022727273      </td><td>0.02631579       </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lllllllllll}\n",
       " Name & funded & group & cluster & degree.in & degree.out & degree.total & betweenness & closeness.in & closeness.out & closeness.total\\\\\n",
       "\\hline\n",
       "\t Astro-NFDI        & 0                 & 5                 & 1                 &  2                & 3                 &  5                &   5.975000        & 0.01408451        & 0.018518519       & 0.02083333       \\\\\n",
       "\t BERD\\textbackslash{}@NFDI       & 0                                & 3                                & 2                                &  2                               & 3                                &  5                               &   2.000000                       & 0.01250000                       & 0.017543860                      & 0.01923077                      \\\\\n",
       "\t DAPHNE            & 0                 & 5                 & 1                 &  5                & 7                 & 12                &  16.019048        & 0.01388889        & 0.022222222       & 0.02325581       \\\\\n",
       "\t DataPLANT         & 0                 & 2                 & 3                 &  2                & 3                 &  5                &   1.416667        & 0.01333333        & 0.020000000       & 0.02127660       \\\\\n",
       "\t FAIRmat           & 0                 & 5                 & 1                 &  6                & 6                 & 12                &  10.063889        & 0.01538462        & 0.021739130       & 0.02272727       \\\\\n",
       "\t ForumX            & 0                 & 3                 & 2                 &  3                & 5                 &  8                &  11.720635        & 0.01333333        & 0.020000000       & 0.02173913       \\\\\n",
       "\t GHGA              & 0                 & 1                 & 3                 &  2                & 2                 &  4                &   0.000000        & 0.01315789        & 0.018518519       & 0.01851852       \\\\\n",
       "\t KonsortSWD        & 0                 & 3                 & 3                 &  8                & 5                 & 13                &  33.279762        & 0.01612903        & 0.021739130       & 0.02380952       \\\\\n",
       "\t MaRDI             & 0                 & 4                 & 1                 &  4                & 6                 & 10                &   9.225000        & 0.01428571        & 0.021276596       & 0.02325581       \\\\\n",
       "\t NFDI4Agri         & 0                 & 2                 & 3                 &  5                & 5                 & 10                &   8.885714        & 0.01492537        & 0.020833333       & 0.02222222       \\\\\n",
       "\t NFDI4BioDiversity & 0                 & 2                 & 3                 &  8                & 8                 & 16                &  57.990476        & 0.01754386        & 0.025000000       & 0.02857143       \\\\\n",
       "\t NFDI4Cat          & 0                 & 5                 & 1                 &  3                & 4                 &  7                &   0.000000        & 0.01333333        & 0.020833333       & 0.02173913       \\\\\n",
       "\t NFDI4Chem         & 0                 & 5                 & 1                 &  9                & 7                 & 16                &  75.065079        & 0.01724138        & 0.025641026       & 0.02777778       \\\\\n",
       "\t NFDI4Crime        & 0                 & 2                 & 3                 &  2                & 3                 &  5                &   1.616667        & 0.01388889        & 0.020000000       & 0.02040816       \\\\\n",
       "\t NFDI4Culture      & 0                 & 3                 & 2                 &  4                & 3                 &  7                &   7.630556        & 0.01492537        & 0.019607843       & 0.02222222       \\\\\n",
       "\t NFDI4Earth        & 0                 & 2                 & 3                 &  8                & 5                 & 13                &  48.296429        & 0.01754386        & 0.023809524       & 0.02777778       \\\\\n",
       "\t NFDI4Health       & 0                 & 1                 & 3                 &  6                & 7                 & 13                &  32.397222        & 0.01612903        & 0.024390244       & 0.02631579       \\\\\n",
       "\t NFDI4Ing          & 0                 & 4                 & 1                 & 11                & 9                 & 20                & 123.969841        & 0.01851852        & 0.027027027       & 0.03030303       \\\\\n",
       "\t NFDI4Medicine     & 0                 & 1                 & 3                 &  6                & 7                 & 13                &  54.310317        & 0.01666667        & 0.024390244       & 0.02631579       \\\\\n",
       "\t NFDI4MobilTech    & 0                 & 4                 & 2                 &  1                & 3                 &  4                &   5.461905        & 0.01351351        & 0.020833333       & 0.02222222       \\\\\n",
       "\t NFDI4MSE          & 0                 & 5                 & 1                 &  4                & 5                 &  9                &   2.880556        & 0.01428571        & 0.021276596       & 0.02222222       \\\\\n",
       "\t PAHN-PaN          & 0                 & 5                 & 1                 &  4                & 0                 &  4                &   0.000000        & 0.02000000        & 0.001976285       & 0.02000000       \\\\\n",
       "\t Text+             & 0                 & 3                 & 2                 &  6                & 5                 & 11                &  32.795238        & 0.01612903        & 0.022727273       & 0.02631579       \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "Name | funded | group | cluster | degree.in | degree.out | degree.total | betweenness | closeness.in | closeness.out | closeness.total | \n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| Astro-NFDI        | 0                 | 5                 | 1                 |  2                | 3                 |  5                |   5.975000        | 0.01408451        | 0.018518519       | 0.02083333        | \n",
       "| BERD\\@NFDI       | 0                 | 3                 | 2                 |  2                | 3                 |  5                |   2.000000        | 0.01250000        | 0.017543860       | 0.01923077        | \n",
       "| DAPHNE            | 0                 | 5                 | 1                 |  5                | 7                 | 12                |  16.019048        | 0.01388889        | 0.022222222       | 0.02325581        | \n",
       "| DataPLANT         | 0                 | 2                 | 3                 |  2                | 3                 |  5                |   1.416667        | 0.01333333        | 0.020000000       | 0.02127660        | \n",
       "| FAIRmat           | 0                 | 5                 | 1                 |  6                | 6                 | 12                |  10.063889        | 0.01538462        | 0.021739130       | 0.02272727        | \n",
       "| ForumX            | 0                 | 3                 | 2                 |  3                | 5                 |  8                |  11.720635        | 0.01333333        | 0.020000000       | 0.02173913        | \n",
       "| GHGA              | 0                 | 1                 | 3                 |  2                | 2                 |  4                |   0.000000        | 0.01315789        | 0.018518519       | 0.01851852        | \n",
       "| KonsortSWD        | 0                 | 3                 | 3                 |  8                | 5                 | 13                |  33.279762        | 0.01612903        | 0.021739130       | 0.02380952        | \n",
       "| MaRDI             | 0                 | 4                 | 1                 |  4                | 6                 | 10                |   9.225000        | 0.01428571        | 0.021276596       | 0.02325581        | \n",
       "| NFDI4Agri         | 0                 | 2                 | 3                 |  5                | 5                 | 10                |   8.885714        | 0.01492537        | 0.020833333       | 0.02222222        | \n",
       "| NFDI4BioDiversity | 0                 | 2                 | 3                 |  8                | 8                 | 16                |  57.990476        | 0.01754386        | 0.025000000       | 0.02857143        | \n",
       "| NFDI4Cat          | 0                 | 5                 | 1                 |  3                | 4                 |  7                |   0.000000        | 0.01333333        | 0.020833333       | 0.02173913        | \n",
       "| NFDI4Chem         | 0                 | 5                 | 1                 |  9                | 7                 | 16                |  75.065079        | 0.01724138        | 0.025641026       | 0.02777778        | \n",
       "| NFDI4Crime        | 0                 | 2                 | 3                 |  2                | 3                 |  5                |   1.616667        | 0.01388889        | 0.020000000       | 0.02040816        | \n",
       "| NFDI4Culture      | 0                 | 3                 | 2                 |  4                | 3                 |  7                |   7.630556        | 0.01492537        | 0.019607843       | 0.02222222        | \n",
       "| NFDI4Earth        | 0                 | 2                 | 3                 |  8                | 5                 | 13                |  48.296429        | 0.01754386        | 0.023809524       | 0.02777778        | \n",
       "| NFDI4Health       | 0                 | 1                 | 3                 |  6                | 7                 | 13                |  32.397222        | 0.01612903        | 0.024390244       | 0.02631579        | \n",
       "| NFDI4Ing          | 0                 | 4                 | 1                 | 11                | 9                 | 20                | 123.969841        | 0.01851852        | 0.027027027       | 0.03030303        | \n",
       "| NFDI4Medicine     | 0                 | 1                 | 3                 |  6                | 7                 | 13                |  54.310317        | 0.01666667        | 0.024390244       | 0.02631579        | \n",
       "| NFDI4MobilTech    | 0                 | 4                 | 2                 |  1                | 3                 |  4                |   5.461905        | 0.01351351        | 0.020833333       | 0.02222222        | \n",
       "| NFDI4MSE          | 0                 | 5                 | 1                 |  4                | 5                 |  9                |   2.880556        | 0.01428571        | 0.021276596       | 0.02222222        | \n",
       "| PAHN-PaN          | 0                 | 5                 | 1                 |  4                | 0                 |  4                |   0.000000        | 0.02000000        | 0.001976285       | 0.02000000        | \n",
       "| Text+             | 0                 | 3                 | 2                 |  6                | 5                 | 11                |  32.795238        | 0.01612903        | 0.022727273       | 0.02631579        | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "   Name              funded group cluster degree.in degree.out degree.total\n",
       "1  Astro-NFDI        0      5     1        2        3           5          \n",
       "2  BERD\\\\@NFDI       0      3     2        2        3           5          \n",
       "3  DAPHNE            0      5     1        5        7          12          \n",
       "4  DataPLANT         0      2     3        2        3           5          \n",
       "5  FAIRmat           0      5     1        6        6          12          \n",
       "6  ForumX            0      3     2        3        5           8          \n",
       "7  GHGA              0      1     3        2        2           4          \n",
       "8  KonsortSWD        0      3     3        8        5          13          \n",
       "9  MaRDI             0      4     1        4        6          10          \n",
       "10 NFDI4Agri         0      2     3        5        5          10          \n",
       "11 NFDI4BioDiversity 0      2     3        8        8          16          \n",
       "12 NFDI4Cat          0      5     1        3        4           7          \n",
       "13 NFDI4Chem         0      5     1        9        7          16          \n",
       "14 NFDI4Crime        0      2     3        2        3           5          \n",
       "15 NFDI4Culture      0      3     2        4        3           7          \n",
       "16 NFDI4Earth        0      2     3        8        5          13          \n",
       "17 NFDI4Health       0      1     3        6        7          13          \n",
       "18 NFDI4Ing          0      4     1       11        9          20          \n",
       "19 NFDI4Medicine     0      1     3        6        7          13          \n",
       "20 NFDI4MobilTech    0      4     2        1        3           4          \n",
       "21 NFDI4MSE          0      5     1        4        5           9          \n",
       "22 PAHN-PaN          0      5     1        4        0           4          \n",
       "23 Text+             0      3     2        6        5          11          \n",
       "   betweenness closeness.in closeness.out closeness.total\n",
       "1    5.975000  0.01408451   0.018518519   0.02083333     \n",
       "2    2.000000  0.01250000   0.017543860   0.01923077     \n",
       "3   16.019048  0.01388889   0.022222222   0.02325581     \n",
       "4    1.416667  0.01333333   0.020000000   0.02127660     \n",
       "5   10.063889  0.01538462   0.021739130   0.02272727     \n",
       "6   11.720635  0.01333333   0.020000000   0.02173913     \n",
       "7    0.000000  0.01315789   0.018518519   0.01851852     \n",
       "8   33.279762  0.01612903   0.021739130   0.02380952     \n",
       "9    9.225000  0.01428571   0.021276596   0.02325581     \n",
       "10   8.885714  0.01492537   0.020833333   0.02222222     \n",
       "11  57.990476  0.01754386   0.025000000   0.02857143     \n",
       "12   0.000000  0.01333333   0.020833333   0.02173913     \n",
       "13  75.065079  0.01724138   0.025641026   0.02777778     \n",
       "14   1.616667  0.01388889   0.020000000   0.02040816     \n",
       "15   7.630556  0.01492537   0.019607843   0.02222222     \n",
       "16  48.296429  0.01754386   0.023809524   0.02777778     \n",
       "17  32.397222  0.01612903   0.024390244   0.02631579     \n",
       "18 123.969841  0.01851852   0.027027027   0.03030303     \n",
       "19  54.310317  0.01666667   0.024390244   0.02631579     \n",
       "20   5.461905  0.01351351   0.020833333   0.02222222     \n",
       "21   2.880556  0.01428571   0.021276596   0.02222222     \n",
       "22   0.000000  0.02000000   0.001976285   0.02000000     \n",
       "23  32.795238  0.01612903   0.022727273   0.02631579     "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nfdi_data_set(2019)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## 2020"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>Name</th><th scope=col>funded</th><th scope=col>group</th><th scope=col>cluster</th><th scope=col>degree.in</th><th scope=col>degree.out</th><th scope=col>degree.total</th><th scope=col>betweenness</th><th scope=col>closeness.in</th><th scope=col>closeness.out</th><th scope=col>closeness.total</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>BERD\\@NFDI      </td><td>0                </td><td>3                </td><td>1                </td><td> 2               </td><td> 4               </td><td> 6               </td><td> 9.9523810       </td><td>0.003663004      </td><td>0.012500000      </td><td>0.01923077       </td></tr>\n",
       "\t<tr><td>DAPHNE4NFDI      </td><td>0                </td><td>5                </td><td>2                </td><td> 3               </td><td> 8               </td><td>11               </td><td> 9.7119048       </td><td>0.003571429      </td><td>0.014285714      </td><td>0.02325581       </td></tr>\n",
       "\t<tr><td>DataPLANT        </td><td>1                </td><td>2                </td><td>3                </td><td> 6               </td><td> 0               </td><td> 6               </td><td> 0.0000000       </td><td>0.004184100      </td><td>0.001538462      </td><td>0.02127660       </td></tr>\n",
       "\t<tr><td>FAIRmat          </td><td>0                </td><td>5                </td><td>2                </td><td> 5               </td><td>10               </td><td>15               </td><td>14.0928571       </td><td>0.003663004      </td><td>0.014705882      </td><td>0.02439024       </td></tr>\n",
       "\t<tr><td>GHGA             </td><td>1                </td><td>1                </td><td>3                </td><td> 5               </td><td> 0               </td><td> 5               </td><td> 0.0000000       </td><td>0.004149378      </td><td>0.001538462      </td><td>0.02040816       </td></tr>\n",
       "\t<tr><td>KonsortSWD       </td><td>1                </td><td>3                </td><td>1                </td><td> 7               </td><td> 0               </td><td> 7               </td><td> 0.0000000       </td><td>0.004255319      </td><td>0.001538462      </td><td>0.02325581       </td></tr>\n",
       "\t<tr><td>MaRDI            </td><td>0                </td><td>4                </td><td>2                </td><td> 7               </td><td> 8               </td><td>15               </td><td>77.0333333       </td><td>0.003802281      </td><td>0.014492754      </td><td>0.02439024       </td></tr>\n",
       "\t<tr><td>NFDI4Agri        </td><td>0                </td><td>2                </td><td>3                </td><td> 4               </td><td> 7               </td><td>11               </td><td>28.5000000       </td><td>0.003759398      </td><td>0.012195122      </td><td>0.02325581       </td></tr>\n",
       "\t<tr><td>NFDI4BioDiversity</td><td>1                </td><td>2                </td><td>3                </td><td> 7               </td><td> 0               </td><td> 7               </td><td> 0.0000000       </td><td>0.004255319      </td><td>0.001538462      </td><td>0.02325581       </td></tr>\n",
       "\t<tr><td>NFDI4Cat         </td><td>1                </td><td>5                </td><td>2                </td><td> 5               </td><td> 0               </td><td> 5               </td><td> 0.0000000       </td><td>0.004201681      </td><td>0.001538462      </td><td>0.02173913       </td></tr>\n",
       "\t<tr><td>NFDI4Chem        </td><td>1                </td><td>5                </td><td>2                </td><td> 8               </td><td> 0               </td><td> 8               </td><td> 0.0000000       </td><td>0.004273504      </td><td>0.001538462      </td><td>0.02380952       </td></tr>\n",
       "\t<tr><td>NFDI4Culture     </td><td>1                </td><td>3                </td><td>1                </td><td> 7               </td><td> 0               </td><td> 7               </td><td> 0.0000000       </td><td>0.004237288      </td><td>0.001538462      </td><td>0.02272727       </td></tr>\n",
       "\t<tr><td>NFDI4DataScience </td><td>0                </td><td>4                </td><td>2                </td><td> 5               </td><td>11               </td><td>16               </td><td>66.3333333       </td><td>0.003745318      </td><td>0.015151515      </td><td>0.02702703       </td></tr>\n",
       "\t<tr><td>NFDI4Earth       </td><td>0                </td><td>2                </td><td>3                </td><td> 6               </td><td>11               </td><td>17               </td><td>51.9023810       </td><td>0.003846154      </td><td>0.012658228      </td><td>0.02857143       </td></tr>\n",
       "\t<tr><td>NFDI4Health      </td><td>1                </td><td>1                </td><td>3                </td><td> 7               </td><td> 0               </td><td> 7               </td><td> 0.0000000       </td><td>0.004219409      </td><td>0.001538462      </td><td>0.02222222       </td></tr>\n",
       "\t<tr><td>NFDI4Immuno      </td><td>0                </td><td>1                </td><td>3                </td><td> 2               </td><td> 4               </td><td> 6               </td><td> 0.3333333       </td><td>0.003636364      </td><td>0.011111111      </td><td>0.01785714       </td></tr>\n",
       "\t<tr><td>NFDI4Ing         </td><td>1                </td><td>4                </td><td>2                </td><td>11               </td><td> 0               </td><td>11               </td><td> 0.0000000       </td><td>0.004329004      </td><td>0.001538462      </td><td>0.02564103       </td></tr>\n",
       "\t<tr><td>NFDI4Memory      </td><td>0                </td><td>3                </td><td>1                </td><td> 4               </td><td> 6               </td><td>10               </td><td>29.0595238       </td><td>0.003663004      </td><td>0.013157895      </td><td>0.02083333       </td></tr>\n",
       "\t<tr><td>NFDI4Microbiota  </td><td>0                </td><td>2                </td><td>3                </td><td> 4               </td><td> 9               </td><td>13               </td><td>46.4166667       </td><td>0.003745318      </td><td>0.013333333      </td><td>0.02380952       </td></tr>\n",
       "\t<tr><td>NFDI4Objects     </td><td>0                </td><td>3                </td><td>1                </td><td> 5               </td><td> 7               </td><td>12               </td><td>41.5833333       </td><td>0.003773585      </td><td>0.013157895      </td><td>0.02439024       </td></tr>\n",
       "\t<tr><td>NFDI4SD          </td><td>0                </td><td>3                </td><td>1                </td><td> 0               </td><td> 4               </td><td> 4               </td><td> 0.0000000       </td><td>0.001538462      </td><td>0.018867925      </td><td>0.02000000       </td></tr>\n",
       "\t<tr><td>NFDI-MatWerk     </td><td>0                </td><td>4                </td><td>2                </td><td> 4               </td><td> 8               </td><td>12               </td><td>18.1428571       </td><td>0.003717472      </td><td>0.014084507      </td><td>0.02272727       </td></tr>\n",
       "\t<tr><td>NFDI-Neuro       </td><td>0                </td><td>1                </td><td>3                </td><td> 1               </td><td> 8               </td><td> 9               </td><td>11.0595238       </td><td>0.003623188      </td><td>0.012658228      </td><td>0.02439024       </td></tr>\n",
       "\t<tr><td>NFDIxCS          </td><td>0                </td><td>4                </td><td>2                </td><td> 4               </td><td> 6               </td><td>10               </td><td> 6.6166667       </td><td>0.003663004      </td><td>0.014084507      </td><td>0.02325581       </td></tr>\n",
       "\t<tr><td>PUNCH4NFDI       </td><td>0                </td><td>5                </td><td>2                </td><td> 3               </td><td> 7               </td><td>10               </td><td>10.7023810       </td><td>0.003636364      </td><td>0.014084507      </td><td>0.02272727       </td></tr>\n",
       "\t<tr><td>Text+            </td><td>0                </td><td>3                </td><td>1                </td><td> 3               </td><td> 7               </td><td>10               </td><td> 8.5595238       </td><td>0.003649635      </td><td>0.012658228      </td><td>0.02325581       </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lllllllllll}\n",
       " Name & funded & group & cluster & degree.in & degree.out & degree.total & betweenness & closeness.in & closeness.out & closeness.total\\\\\n",
       "\\hline\n",
       "\t BERD\\textbackslash{}@NFDI       & 0                                & 3                                & 1                                &  2                               &  4                               &  6                               &  9.9523810                       & 0.003663004                      & 0.012500000                      & 0.01923077                      \\\\\n",
       "\t DAPHNE4NFDI       & 0                 & 5                 & 2                 &  3                &  8                & 11                &  9.7119048        & 0.003571429       & 0.014285714       & 0.02325581       \\\\\n",
       "\t DataPLANT         & 1                 & 2                 & 3                 &  6                &  0                &  6                &  0.0000000        & 0.004184100       & 0.001538462       & 0.02127660       \\\\\n",
       "\t FAIRmat           & 0                 & 5                 & 2                 &  5                & 10                & 15                & 14.0928571        & 0.003663004       & 0.014705882       & 0.02439024       \\\\\n",
       "\t GHGA              & 1                 & 1                 & 3                 &  5                &  0                &  5                &  0.0000000        & 0.004149378       & 0.001538462       & 0.02040816       \\\\\n",
       "\t KonsortSWD        & 1                 & 3                 & 1                 &  7                &  0                &  7                &  0.0000000        & 0.004255319       & 0.001538462       & 0.02325581       \\\\\n",
       "\t MaRDI             & 0                 & 4                 & 2                 &  7                &  8                & 15                & 77.0333333        & 0.003802281       & 0.014492754       & 0.02439024       \\\\\n",
       "\t NFDI4Agri         & 0                 & 2                 & 3                 &  4                &  7                & 11                & 28.5000000        & 0.003759398       & 0.012195122       & 0.02325581       \\\\\n",
       "\t NFDI4BioDiversity & 1                 & 2                 & 3                 &  7                &  0                &  7                &  0.0000000        & 0.004255319       & 0.001538462       & 0.02325581       \\\\\n",
       "\t NFDI4Cat          & 1                 & 5                 & 2                 &  5                &  0                &  5                &  0.0000000        & 0.004201681       & 0.001538462       & 0.02173913       \\\\\n",
       "\t NFDI4Chem         & 1                 & 5                 & 2                 &  8                &  0                &  8                &  0.0000000        & 0.004273504       & 0.001538462       & 0.02380952       \\\\\n",
       "\t NFDI4Culture      & 1                 & 3                 & 1                 &  7                &  0                &  7                &  0.0000000        & 0.004237288       & 0.001538462       & 0.02272727       \\\\\n",
       "\t NFDI4DataScience  & 0                 & 4                 & 2                 &  5                & 11                & 16                & 66.3333333        & 0.003745318       & 0.015151515       & 0.02702703       \\\\\n",
       "\t NFDI4Earth        & 0                 & 2                 & 3                 &  6                & 11                & 17                & 51.9023810        & 0.003846154       & 0.012658228       & 0.02857143       \\\\\n",
       "\t NFDI4Health       & 1                 & 1                 & 3                 &  7                &  0                &  7                &  0.0000000        & 0.004219409       & 0.001538462       & 0.02222222       \\\\\n",
       "\t NFDI4Immuno       & 0                 & 1                 & 3                 &  2                &  4                &  6                &  0.3333333        & 0.003636364       & 0.011111111       & 0.01785714       \\\\\n",
       "\t NFDI4Ing          & 1                 & 4                 & 2                 & 11                &  0                & 11                &  0.0000000        & 0.004329004       & 0.001538462       & 0.02564103       \\\\\n",
       "\t NFDI4Memory       & 0                 & 3                 & 1                 &  4                &  6                & 10                & 29.0595238        & 0.003663004       & 0.013157895       & 0.02083333       \\\\\n",
       "\t NFDI4Microbiota   & 0                 & 2                 & 3                 &  4                &  9                & 13                & 46.4166667        & 0.003745318       & 0.013333333       & 0.02380952       \\\\\n",
       "\t NFDI4Objects      & 0                 & 3                 & 1                 &  5                &  7                & 12                & 41.5833333        & 0.003773585       & 0.013157895       & 0.02439024       \\\\\n",
       "\t NFDI4SD           & 0                 & 3                 & 1                 &  0                &  4                &  4                &  0.0000000        & 0.001538462       & 0.018867925       & 0.02000000       \\\\\n",
       "\t NFDI-MatWerk      & 0                 & 4                 & 2                 &  4                &  8                & 12                & 18.1428571        & 0.003717472       & 0.014084507       & 0.02272727       \\\\\n",
       "\t NFDI-Neuro        & 0                 & 1                 & 3                 &  1                &  8                &  9                & 11.0595238        & 0.003623188       & 0.012658228       & 0.02439024       \\\\\n",
       "\t NFDIxCS           & 0                 & 4                 & 2                 &  4                &  6                & 10                &  6.6166667        & 0.003663004       & 0.014084507       & 0.02325581       \\\\\n",
       "\t PUNCH4NFDI        & 0                 & 5                 & 2                 &  3                &  7                & 10                & 10.7023810        & 0.003636364       & 0.014084507       & 0.02272727       \\\\\n",
       "\t Text+             & 0                 & 3                 & 1                 &  3                &  7                & 10                &  8.5595238        & 0.003649635       & 0.012658228       & 0.02325581       \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "Name | funded | group | cluster | degree.in | degree.out | degree.total | betweenness | closeness.in | closeness.out | closeness.total | \n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| BERD\\@NFDI       | 0                 | 3                 | 1                 |  2                |  4                |  6                |  9.9523810        | 0.003663004       | 0.012500000       | 0.01923077        | \n",
       "| DAPHNE4NFDI       | 0                 | 5                 | 2                 |  3                |  8                | 11                |  9.7119048        | 0.003571429       | 0.014285714       | 0.02325581        | \n",
       "| DataPLANT         | 1                 | 2                 | 3                 |  6                |  0                |  6                |  0.0000000        | 0.004184100       | 0.001538462       | 0.02127660        | \n",
       "| FAIRmat           | 0                 | 5                 | 2                 |  5                | 10                | 15                | 14.0928571        | 0.003663004       | 0.014705882       | 0.02439024        | \n",
       "| GHGA              | 1                 | 1                 | 3                 |  5                |  0                |  5                |  0.0000000        | 0.004149378       | 0.001538462       | 0.02040816        | \n",
       "| KonsortSWD        | 1                 | 3                 | 1                 |  7                |  0                |  7                |  0.0000000        | 0.004255319       | 0.001538462       | 0.02325581        | \n",
       "| MaRDI             | 0                 | 4                 | 2                 |  7                |  8                | 15                | 77.0333333        | 0.003802281       | 0.014492754       | 0.02439024        | \n",
       "| NFDI4Agri         | 0                 | 2                 | 3                 |  4                |  7                | 11                | 28.5000000        | 0.003759398       | 0.012195122       | 0.02325581        | \n",
       "| NFDI4BioDiversity | 1                 | 2                 | 3                 |  7                |  0                |  7                |  0.0000000        | 0.004255319       | 0.001538462       | 0.02325581        | \n",
       "| NFDI4Cat          | 1                 | 5                 | 2                 |  5                |  0                |  5                |  0.0000000        | 0.004201681       | 0.001538462       | 0.02173913        | \n",
       "| NFDI4Chem         | 1                 | 5                 | 2                 |  8                |  0                |  8                |  0.0000000        | 0.004273504       | 0.001538462       | 0.02380952        | \n",
       "| NFDI4Culture      | 1                 | 3                 | 1                 |  7                |  0                |  7                |  0.0000000        | 0.004237288       | 0.001538462       | 0.02272727        | \n",
       "| NFDI4DataScience  | 0                 | 4                 | 2                 |  5                | 11                | 16                | 66.3333333        | 0.003745318       | 0.015151515       | 0.02702703        | \n",
       "| NFDI4Earth        | 0                 | 2                 | 3                 |  6                | 11                | 17                | 51.9023810        | 0.003846154       | 0.012658228       | 0.02857143        | \n",
       "| NFDI4Health       | 1                 | 1                 | 3                 |  7                |  0                |  7                |  0.0000000        | 0.004219409       | 0.001538462       | 0.02222222        | \n",
       "| NFDI4Immuno       | 0                 | 1                 | 3                 |  2                |  4                |  6                |  0.3333333        | 0.003636364       | 0.011111111       | 0.01785714        | \n",
       "| NFDI4Ing          | 1                 | 4                 | 2                 | 11                |  0                | 11                |  0.0000000        | 0.004329004       | 0.001538462       | 0.02564103        | \n",
       "| NFDI4Memory       | 0                 | 3                 | 1                 |  4                |  6                | 10                | 29.0595238        | 0.003663004       | 0.013157895       | 0.02083333        | \n",
       "| NFDI4Microbiota   | 0                 | 2                 | 3                 |  4                |  9                | 13                | 46.4166667        | 0.003745318       | 0.013333333       | 0.02380952        | \n",
       "| NFDI4Objects      | 0                 | 3                 | 1                 |  5                |  7                | 12                | 41.5833333        | 0.003773585       | 0.013157895       | 0.02439024        | \n",
       "| NFDI4SD           | 0                 | 3                 | 1                 |  0                |  4                |  4                |  0.0000000        | 0.001538462       | 0.018867925       | 0.02000000        | \n",
       "| NFDI-MatWerk      | 0                 | 4                 | 2                 |  4                |  8                | 12                | 18.1428571        | 0.003717472       | 0.014084507       | 0.02272727        | \n",
       "| NFDI-Neuro        | 0                 | 1                 | 3                 |  1                |  8                |  9                | 11.0595238        | 0.003623188       | 0.012658228       | 0.02439024        | \n",
       "| NFDIxCS           | 0                 | 4                 | 2                 |  4                |  6                | 10                |  6.6166667        | 0.003663004       | 0.014084507       | 0.02325581        | \n",
       "| PUNCH4NFDI        | 0                 | 5                 | 2                 |  3                |  7                | 10                | 10.7023810        | 0.003636364       | 0.014084507       | 0.02272727        | \n",
       "| Text+             | 0                 | 3                 | 1                 |  3                |  7                | 10                |  8.5595238        | 0.003649635       | 0.012658228       | 0.02325581        | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "   Name              funded group cluster degree.in degree.out degree.total\n",
       "1  BERD\\\\@NFDI       0      3     1        2         4          6          \n",
       "2  DAPHNE4NFDI       0      5     2        3         8         11          \n",
       "3  DataPLANT         1      2     3        6         0          6          \n",
       "4  FAIRmat           0      5     2        5        10         15          \n",
       "5  GHGA              1      1     3        5         0          5          \n",
       "6  KonsortSWD        1      3     1        7         0          7          \n",
       "7  MaRDI             0      4     2        7         8         15          \n",
       "8  NFDI4Agri         0      2     3        4         7         11          \n",
       "9  NFDI4BioDiversity 1      2     3        7         0          7          \n",
       "10 NFDI4Cat          1      5     2        5         0          5          \n",
       "11 NFDI4Chem         1      5     2        8         0          8          \n",
       "12 NFDI4Culture      1      3     1        7         0          7          \n",
       "13 NFDI4DataScience  0      4     2        5        11         16          \n",
       "14 NFDI4Earth        0      2     3        6        11         17          \n",
       "15 NFDI4Health       1      1     3        7         0          7          \n",
       "16 NFDI4Immuno       0      1     3        2         4          6          \n",
       "17 NFDI4Ing          1      4     2       11         0         11          \n",
       "18 NFDI4Memory       0      3     1        4         6         10          \n",
       "19 NFDI4Microbiota   0      2     3        4         9         13          \n",
       "20 NFDI4Objects      0      3     1        5         7         12          \n",
       "21 NFDI4SD           0      3     1        0         4          4          \n",
       "22 NFDI-MatWerk      0      4     2        4         8         12          \n",
       "23 NFDI-Neuro        0      1     3        1         8          9          \n",
       "24 NFDIxCS           0      4     2        4         6         10          \n",
       "25 PUNCH4NFDI        0      5     2        3         7         10          \n",
       "26 Text+             0      3     1        3         7         10          \n",
       "   betweenness closeness.in closeness.out closeness.total\n",
       "1   9.9523810  0.003663004  0.012500000   0.01923077     \n",
       "2   9.7119048  0.003571429  0.014285714   0.02325581     \n",
       "3   0.0000000  0.004184100  0.001538462   0.02127660     \n",
       "4  14.0928571  0.003663004  0.014705882   0.02439024     \n",
       "5   0.0000000  0.004149378  0.001538462   0.02040816     \n",
       "6   0.0000000  0.004255319  0.001538462   0.02325581     \n",
       "7  77.0333333  0.003802281  0.014492754   0.02439024     \n",
       "8  28.5000000  0.003759398  0.012195122   0.02325581     \n",
       "9   0.0000000  0.004255319  0.001538462   0.02325581     \n",
       "10  0.0000000  0.004201681  0.001538462   0.02173913     \n",
       "11  0.0000000  0.004273504  0.001538462   0.02380952     \n",
       "12  0.0000000  0.004237288  0.001538462   0.02272727     \n",
       "13 66.3333333  0.003745318  0.015151515   0.02702703     \n",
       "14 51.9023810  0.003846154  0.012658228   0.02857143     \n",
       "15  0.0000000  0.004219409  0.001538462   0.02222222     \n",
       "16  0.3333333  0.003636364  0.011111111   0.01785714     \n",
       "17  0.0000000  0.004329004  0.001538462   0.02564103     \n",
       "18 29.0595238  0.003663004  0.013157895   0.02083333     \n",
       "19 46.4166667  0.003745318  0.013333333   0.02380952     \n",
       "20 41.5833333  0.003773585  0.013157895   0.02439024     \n",
       "21  0.0000000  0.001538462  0.018867925   0.02000000     \n",
       "22 18.1428571  0.003717472  0.014084507   0.02272727     \n",
       "23 11.0595238  0.003623188  0.012658228   0.02439024     \n",
       "24  6.6166667  0.003663004  0.014084507   0.02325581     \n",
       "25 10.7023810  0.003636364  0.014084507   0.02272727     \n",
       "26  8.5595238  0.003649635  0.012658228   0.02325581     "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nfdi_data_set(2020)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Further stats\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Wilcoxon rank sum test\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "lines_to_next_cell": 2,
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": [
     "remove_input",
     "remove_cell"
    ]
   },
   "outputs": [],
   "source": [
    "\n",
    "nfdi_count_edges_out <- function(nfdi_edges_year) {\n",
    "  \n",
    "   nfdi_presettings(nfdi_edges_year,TRUE)\n",
    "    df <- as.data.frame(table(nfdi_edges$from))\n",
    "    df <- as.data.frame(df)\n",
    "     names(df)[1] <- \"Name\"\n",
    "     names(df)[2] <- \"count\"\n",
    "    rownames(df) <- 1:nrow(df)\n",
    "    df\n",
    "}\n",
    "#nfdi_count_edges_out(2019)\n",
    "#nfdi_count_edges_out(2020)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\n",
       "\tWilcoxon rank sum test with continuity correction\n",
       "\n",
       "data:  nfdi_count_edges_out(2019)$count and nfdi_count_edges_out(2020)$count\n",
       "W = 80, p-value = 0.002314\n",
       "alternative hypothesis: true location shift is not equal to 0\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wilcox.test(nfdi_count_edges_out(2019)$count,\n",
    "                 nfdi_count_edges_out(2020)$count,\n",
    "                 alternative=\"two.sided\",\n",
    "                 exact=F, \n",
    "                 correct=T\n",
    "     )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Amount of Letters of Intent with collaborations mentioned"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "lines_to_next_cell": 2,
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": [
     "remove_input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] \"2019: 22\"\n",
      "[1] \"2020: 17\"\n"
     ]
    }
   ],
   "source": [
    "nfdi_count_LoI <- function(nfdi_edges_year) {\n",
    "\n",
    "   nfdi_presettings(nfdi_edges_year,TRUE)\n",
    "  \n",
    "   sum(table(nfdi_count_edges_out(nfdi_edges_year)))\n",
    "}\n",
    "\n",
    "# nfdi_count_LoI(2019)\n",
    "# nfdi_count_LoI(2020)\n",
    "\n",
    "print(paste0(2019,\": \",nfdi_count_LoI(2019)))\n",
    "print(paste0(2020,\": \",nfdi_count_LoI(2020)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Nodes and edges in the network\n",
    "**Nodes**\n",
    "\n",
    "We can easily count all the nodes in a network\n",
    "of a particular year by using the function `gorder`.^[https://igraph.org/r/doc/gorder.html]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": [
     "remove_input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] \"2019: 23\"\n",
      "[1] \"2020: 26\"\n"
     ]
    }
   ],
   "source": [
    "nfdi_count_nodes <- function(nfdi_edges_year) {\n",
    "  \n",
    "    nfdi_presettings(nfdi_edges_year,TRUE)\n",
    "  \n",
    "    gorder(nfdi_network_year)\n",
    "\n",
    "}\n",
    "\n",
    "#nfdi_count_nodes(2019)\n",
    "#nfdi_count_nodes(2020)\n",
    "\n",
    "print(paste0(2019,\": \",nfdi_count_nodes(2019)))\n",
    "print(paste0(2020,\": \",nfdi_count_nodes(2020)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "**Edges**\n",
    "\n",
    "We can easily count all the nodes in a network of a particular year by \n",
    "using the function `gsize`.^[https://igraph.org/r/doc/gsize.html]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "lines_to_next_cell": 0,
    "slideshow": {
     "slide_type": "fragment"
    },
    "tags": [
     "remove_input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] \"2019: 111\"\n",
      "[1] \"2020: 125\"\n"
     ]
    }
   ],
   "source": [
    "nfdi_count_edges <- function(nfdi_edges_year) {\n",
    "  \n",
    "    nfdi_presettings(nfdi_edges_year,TRUE)\n",
    "  \n",
    "    gsize(nfdi_network_year)\n",
    "\n",
    "}\n",
    "\n",
    "#nfdi_count_edges(2019)\n",
    "#nfdi_count_edges(2020)\n",
    "\n",
    "print(paste0(2019,\": \",nfdi_count_edges(2019)))\n",
    "print(paste0(2020,\": \",nfdi_count_edges(2020)))"
   ]
  }
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