{
  "nbformat_minor": 0, 
  "nbformat": 4, 
  "cells": [
    {
      "execution_count": null, 
      "cell_type": "code", 
      "source": [
        "%matplotlib inline"
      ], 
      "outputs": [], 
      "metadata": {
        "collapsed": false
      }
    }, 
    {
      "source": [
        "\n# Krackhardt Centrality\n\n\nCentrality measures of Krackhardt social network.\n\n"
      ], 
      "cell_type": "markdown", 
      "metadata": {}
    }, 
    {
      "execution_count": null, 
      "cell_type": "code", 
      "source": [
        "# Author: Aric Hagberg (hagberg@lanl.gov)\n# Date: 2005-05-12 14:33:11 -0600 (Thu, 12 May 2005)\n# Revision: 998\n\n#    Copyright (C) 2004-2017 by\n#    Aric Hagberg <hagberg@lanl.gov>\n#    Dan Schult <dschult@colgate.edu>\n#    Pieter Swart <swart@lanl.gov>\n#    All rights reserved.\n#    BSD license.\n\nimport matplotlib.pyplot as plt\nimport networkx as nx\n\nG = nx.krackhardt_kite_graph()\n\nprint(\"Betweenness\")\nb = nx.betweenness_centrality(G)\nfor v in G.nodes():\n    print(\"%0.2d %5.3f\" % (v, b[v]))\n\nprint(\"Degree centrality\")\nd = nx.degree_centrality(G)\nfor v in G.nodes():\n    print(\"%0.2d %5.3f\" % (v, d[v]))\n\nprint(\"Closeness centrality\")\nc = nx.closeness_centrality(G)\nfor v in G.nodes():\n    print(\"%0.2d %5.3f\" % (v, c[v]))\n\nnx.draw(G)\nplt.show()"
      ], 
      "outputs": [], 
      "metadata": {
        "collapsed": false
      }
    }
  ], 
  "metadata": {
    "kernelspec": {
      "display_name": "Python 2", 
      "name": "python2", 
      "language": "python"
    }, 
    "language_info": {
      "mimetype": "text/x-python", 
      "nbconvert_exporter": "python", 
      "name": "python", 
      "file_extension": ".py", 
      "version": "2.7.12", 
      "pygments_lexer": "ipython2", 
      "codemirror_mode": {
        "version": 2, 
        "name": "ipython"
      }
    }
  }
}