Star Wars Episode 4 Character Network

star_wars_ep4_network.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "import networkx as nx\n",
    "from networkx.readwrite import json_graph\n",
    "import json\n",
    "import pandas as pd\n",
    "from community import community_louvain\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.pyplot as plt\n",
    "import networkx as nx\n",
    "\n",
    "# JSON file to graph\n",
    "def read_json_file(filename):\n",
    "    with open(filename) as f:\n",
    "        js_graph = json.load(f)\n",
    "    return json_graph.node_link_graph(js_graph)\n",
    "\n",
    "# Sort dictionaries\n",
    "def sort_dict(x, reverse=True):\n",
    "    sorted_dict = {k: v for k, v in sorted(x.items(),\n",
    "                         key=lambda item: item[1],\n",
    "                         reverse=reverse)}\n",
    "    return(sorted_dict)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create the Network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "G = read_json_file('star-wars-networks/starwars-episode-4-interactions-allCharacters.json')\n",
    "G = nx.Graph(G)\n",
    "\n",
    "# Extract node colors\n",
    "node_colors = []\n",
    "\n",
    "for i in range(0,len(G.nodes())):\n",
    "    node_colors.append(G.nodes[i]['colour'])\n",
    "\n",
    "# Relabel nodes to character name\n",
    "node_names = {}\n",
    "\n",
    "for i in range(len(G.nodes())):\n",
    "    node_names[i] = G.nodes[i]['name']\n",
    "\n",
    "G = nx.relabel_nodes(G, node_names)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Community Detection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Community detection with Louvain algorithm\n",
    "partition = community_louvain.best_partition(G)\n",
    "\n",
    "louvain_clusters = sort_dict(dict(zip(G.nodes(), partition.values())))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'R2-D2': 3,\n",
       " 'CHEWBACCA': 3,\n",
       " 'C-3PO': 3,\n",
       " 'BERU': 3,\n",
       " 'OWEN': 3,\n",
       " 'OBI-WAN': 3,\n",
       " 'HAN': 3,\n",
       " 'GREEDO': 3,\n",
       " 'JABBA': 3,\n",
       " 'DARTH VADER': 2,\n",
       " 'LEIA': 2,\n",
       " 'MOTTI': 2,\n",
       " 'TARKIN': 2,\n",
       " 'LUKE': 1,\n",
       " 'CAMIE': 1,\n",
       " 'BIGGS': 1,\n",
       " 'DODONNA': 1,\n",
       " 'GOLD LEADER': 1,\n",
       " 'WEDGE': 1,\n",
       " 'RED LEADER': 1,\n",
       " 'RED TEN': 1,\n",
       " 'GOLD FIVE': 0}"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "louvain_clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [],
   "source": [
    "clusters_and_labels = []\n",
    "\n",
    "for i in louvain_clusters:\n",
    "    clusters_and_labels.append(f'{i}, {louvain_clusters[i]}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Initial look at network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 287,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "nx.draw(G, pos=nx.kamada_kawai_layout(G),\n",
    "        with_labels=True,\n",
    "        node_color = \"lightblue\",\n",
    "       )\n",
    "plt.title(\"Everything starts out ugly... that's okay! :)\", fontsize=16)\n",
    "plt.margins(0.1,0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Network with community labels instead of characters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nx.draw(G, pos=nx.kamada_kawai_layout(G),\n",
    "        with_labels=True,\n",
    "        node_color = \"lightblue\",\n",
    "        labels = louvain_clusters,\n",
    "       )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Using both kinds of labels\n",
    "This code offsets the position of the labels on the y axis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "metadata": {},
   "outputs": [],
   "source": [
    "pos = nx.kamada_kawai_layout(G)\n",
    "pos_higher = {}\n",
    "y_off = .05  # offset on the y axis\n",
    "\n",
    "for k, v in pos.items():\n",
    "    pos_higher[k] = (v[0], v[1]+y_off)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12,8))\n",
    "\n",
    "nx.draw_networkx_labels(G, pos_higher)\n",
    "nx.draw(G, pos=nx.kamada_kawai_layout(G),\n",
    "        with_labels=True,\n",
    "        node_color = \"lightblue\",\n",
    "        labels = louvain_clusters,\n",
    "       )\n",
    "plt.margins(.1,.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12,8))\n",
    "\n",
    "nx.draw_networkx_labels(G, pos_higher)\n",
    "nx.draw(G, pos=nx.kamada_kawai_layout(G),\n",
    "        with_labels=True,\n",
    "        node_color = \"lightblue\",\n",
    "        labels = louvain_clusters,\n",
    "       )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Coloring nodes by community"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 272,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Adding louvain communities to the nodes\n",
    "node_dict = dict(G.nodes(data=True))\n",
    "\n",
    "for i in louvain_clusters:\n",
    "    node_dict[i]['community'] = louvain_clusters[i]\n",
    "\n",
    "# Edge weights for weighted graph (not pictured)\n",
    "edge_weights = []\n",
    "\n",
    "for i in list(G.edges(data=True)):\n",
    "    for key in i[2]:\n",
    "        edge_weights.append(i[2][key])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 280,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create number for each group to allow use of colormap\n",
    "from itertools import count\n",
    "\n",
    "# get unique groups\n",
    "groups = set(nx.get_node_attributes(G,'community').values())\n",
    "mapping = dict(zip(sorted(groups),count()))\n",
    "nodes = G.nodes()\n",
    "colors = [mapping[G.nodes[n]['community']] for n in nodes]\n",
    "\n",
    "fig = plt.figure(figsize=(12,8))\n",
    "\n",
    "nx.draw_networkx_edges(G, pos, alpha=0.2)\n",
    "nx.draw_networkx_labels(G, pos_higher)\n",
    "nx.draw_networkx_nodes(G, pos, nodelist=nodes,\n",
    "                            node_color=colors, \n",
    "                            with_labels=False,\n",
    "                            node_size=100,\n",
    "                            cmap=plt.cm.seismic,\n",
    "                           )\n",
    "plt.margins(0.1,0.1)\n",
    "plt.axis('off')\n",
    "plt.title(\"Star Wars Episode 4 Character Network & Communities\", fontsize=16)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Playing with Centrality"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'LUKE': 0.7142857142857142,\n",
       " 'LEIA': 0.5714285714285714,\n",
       " 'C-3PO': 0.47619047619047616,\n",
       " 'R2-D2': 0.42857142857142855,\n",
       " 'BIGGS': 0.38095238095238093,\n",
       " 'HAN': 0.38095238095238093,\n",
       " 'OBI-WAN': 0.3333333333333333,\n",
       " 'RED LEADER': 0.3333333333333333,\n",
       " 'CHEWBACCA': 0.2857142857142857,\n",
       " 'BERU': 0.23809523809523808,\n",
       " 'GOLD LEADER': 0.23809523809523808,\n",
       " 'WEDGE': 0.23809523809523808,\n",
       " 'DARTH VADER': 0.19047619047619047,\n",
       " 'OWEN': 0.19047619047619047,\n",
       " 'MOTTI': 0.14285714285714285,\n",
       " 'TARKIN': 0.14285714285714285,\n",
       " 'DODONNA': 0.14285714285714285,\n",
       " 'CAMIE': 0.09523809523809523,\n",
       " 'RED TEN': 0.09523809523809523,\n",
       " 'GREEDO': 0.047619047619047616,\n",
       " 'JABBA': 0.047619047619047616,\n",
       " 'GOLD FIVE': 0.0}"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sort_dict(nx.degree_centrality(G))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'LUKE': 0.7619047619047619,\n",
       " 'LEIA': 0.6802721088435374,\n",
       " 'C-3PO': 0.6349206349206349,\n",
       " 'R2-D2': 0.6144393241167434,\n",
       " 'HAN': 0.5952380952380952,\n",
       " 'OBI-WAN': 0.5772005772005772,\n",
       " 'CHEWBACCA': 0.5602240896358543,\n",
       " 'BIGGS': 0.5602240896358543,\n",
       " 'RED LEADER': 0.5442176870748299,\n",
       " 'BERU': 0.5148005148005148,\n",
       " 'GOLD LEADER': 0.47619047619047616,\n",
       " 'WEDGE': 0.47619047619047616,\n",
       " 'OWEN': 0.46457607433217185,\n",
       " 'DODONNA': 0.4535147392290249,\n",
       " 'CAMIE': 0.4429678848283499,\n",
       " 'RED TEN': 0.4429678848283499,\n",
       " 'DARTH VADER': 0.43290043290043284,\n",
       " 'MOTTI': 0.42328042328042326,\n",
       " 'TARKIN': 0.42328042328042326,\n",
       " 'GREEDO': 0.37348272642390284,\n",
       " 'JABBA': 0.37348272642390284,\n",
       " 'GOLD FIVE': 0.0}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sort_dict(nx.closeness_centrality(H))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'R2-D2': {'R2-D2': ['R2-D2'],\n",
       "  'CHEWBACCA': ['R2-D2', 'CHEWBACCA'],\n",
       "  'C-3PO': ['R2-D2', 'C-3PO'],\n",
       "  'BERU': ['R2-D2', 'BERU'],\n",
       "  'LUKE': ['R2-D2', 'LUKE'],\n",
       "  'OWEN': ['R2-D2', 'OWEN'],\n",
       "  'OBI-WAN': ['R2-D2', 'OBI-WAN'],\n",
       "  'LEIA': ['R2-D2', 'LEIA'],\n",
       "  'BIGGS': ['R2-D2', 'BIGGS'],\n",
       "  'HAN': ['R2-D2', 'HAN'],\n",
       "  'RED LEADER': ['R2-D2', 'C-3PO', 'RED LEADER'],\n",
       "  'CAMIE': ['R2-D2', 'LUKE', 'CAMIE'],\n",
       "  'DODONNA': ['R2-D2', 'LUKE', 'DODONNA'],\n",
       "  'GOLD LEADER': ['R2-D2', 'LUKE', 'GOLD LEADER'],\n",
       "  'WEDGE': ['R2-D2', 'LUKE', 'WEDGE'],\n",
       "  'RED TEN': ['R2-D2', 'LUKE', 'RED TEN'],\n",
       "  'DARTH VADER': ['R2-D2', 'OBI-WAN', 'DARTH VADER'],\n",
       "  'MOTTI': ['R2-D2', 'LEIA', 'MOTTI'],\n",
       "  'TARKIN': ['R2-D2', 'LEIA', 'TARKIN'],\n",
       "  'GREEDO': ['R2-D2', 'HAN', 'GREEDO'],\n",
       "  'JABBA': ['R2-D2', 'HAN', 'JABBA']},\n",
       " 'CHEWBACCA': {'CHEWBACCA': ['CHEWBACCA'],\n",
       "  'R2-D2': ['CHEWBACCA', 'R2-D2'],\n",
       "  'OBI-WAN': ['CHEWBACCA', 'OBI-WAN'],\n",
       "  'C-3PO': ['CHEWBACCA', 'C-3PO'],\n",
       "  'LUKE': ['CHEWBACCA', 'LUKE'],\n",
       "  'HAN': ['CHEWBACCA', 'HAN'],\n",
       "  'LEIA': ['CHEWBACCA', 'LEIA'],\n",
       "  'BERU': ['CHEWBACCA', 'R2-D2', 'BERU'],\n",
       "  'OWEN': ['CHEWBACCA', 'R2-D2', 'OWEN'],\n",
       "  'BIGGS': ['CHEWBACCA', 'R2-D2', 'BIGGS'],\n",
       "  'DARTH VADER': ['CHEWBACCA', 'OBI-WAN', 'DARTH VADER'],\n",
       "  'RED LEADER': ['CHEWBACCA', 'C-3PO', 'RED LEADER'],\n",
       "  'CAMIE': ['CHEWBACCA', 'LUKE', 'CAMIE'],\n",
       "  'DODONNA': ['CHEWBACCA', 'LUKE', 'DODONNA'],\n",
       "  'GOLD LEADER': ['CHEWBACCA', 'LUKE', 'GOLD LEADER'],\n",
       "  'WEDGE': ['CHEWBACCA', 'LUKE', 'WEDGE'],\n",
       "  'RED TEN': ['CHEWBACCA', 'LUKE', 'RED TEN'],\n",
       "  'GREEDO': ['CHEWBACCA', 'HAN', 'GREEDO'],\n",
       "  'JABBA': ['CHEWBACCA', 'HAN', 'JABBA'],\n",
       "  'MOTTI': ['CHEWBACCA', 'LEIA', 'MOTTI'],\n",
       "  'TARKIN': ['CHEWBACCA', 'LEIA', 'TARKIN']},\n",
       " 'C-3PO': {'C-3PO': ['C-3PO'],\n",
       "  'R2-D2': ['C-3PO', 'R2-D2'],\n",
       "  'CHEWBACCA': ['C-3PO', 'CHEWBACCA'],\n",
       "  'BERU': ['C-3PO', 'BERU'],\n",
       "  'LUKE': ['C-3PO', 'LUKE'],\n",
       "  'OWEN': ['C-3PO', 'OWEN'],\n",
       "  'LEIA': ['C-3PO', 'LEIA'],\n",
       "  'OBI-WAN': ['C-3PO', 'OBI-WAN'],\n",
       "  'HAN': ['C-3PO', 'HAN'],\n",
       "  'BIGGS': ['C-3PO', 'BIGGS'],\n",
       "  'RED LEADER': ['C-3PO', 'RED LEADER'],\n",
       "  'CAMIE': ['C-3PO', 'LUKE', 'CAMIE'],\n",
       "  'DODONNA': ['C-3PO', 'LUKE', 'DODONNA'],\n",
       "  'GOLD LEADER': ['C-3PO', 'LUKE', 'GOLD LEADER'],\n",
       "  'WEDGE': ['C-3PO', 'LUKE', 'WEDGE'],\n",
       "  'RED TEN': ['C-3PO', 'LUKE', 'RED TEN'],\n",
       "  'DARTH VADER': ['C-3PO', 'LEIA', 'DARTH VADER'],\n",
       "  'MOTTI': ['C-3PO', 'LEIA', 'MOTTI'],\n",
       "  'TARKIN': ['C-3PO', 'LEIA', 'TARKIN'],\n",
       "  'GREEDO': ['C-3PO', 'HAN', 'GREEDO'],\n",
       "  'JABBA': ['C-3PO', 'HAN', 'JABBA']},\n",
       " 'LUKE': {'LUKE': ['LUKE'],\n",
       "  'R2-D2': ['LUKE', 'R2-D2'],\n",
       "  'CHEWBACCA': ['LUKE', 'CHEWBACCA'],\n",
       "  'C-3PO': ['LUKE', 'C-3PO'],\n",
       "  'CAMIE': ['LUKE', 'CAMIE'],\n",
       "  'BIGGS': ['LUKE', 'BIGGS'],\n",
       "  'BERU': ['LUKE', 'BERU'],\n",
       "  'OWEN': ['LUKE', 'OWEN'],\n",
       "  'LEIA': ['LUKE', 'LEIA'],\n",
       "  'OBI-WAN': ['LUKE', 'OBI-WAN'],\n",
       "  'HAN': ['LUKE', 'HAN'],\n",
       "  'DODONNA': ['LUKE', 'DODONNA'],\n",
       "  'GOLD LEADER': ['LUKE', 'GOLD LEADER'],\n",
       "  'WEDGE': ['LUKE', 'WEDGE'],\n",
       "  'RED LEADER': ['LUKE', 'RED LEADER'],\n",
       "  'RED TEN': ['LUKE', 'RED TEN'],\n",
       "  'DARTH VADER': ['LUKE', 'LEIA', 'DARTH VADER'],\n",
       "  'MOTTI': ['LUKE', 'LEIA', 'MOTTI'],\n",
       "  'TARKIN': ['LUKE', 'LEIA', 'TARKIN'],\n",
       "  'GREEDO': ['LUKE', 'HAN', 'GREEDO'],\n",
       "  'JABBA': ['LUKE', 'HAN', 'JABBA']},\n",
       " 'DARTH VADER': {'DARTH VADER': ['DARTH VADER'],\n",
       "  'LEIA': ['DARTH VADER', 'LEIA'],\n",
       "  'MOTTI': ['DARTH VADER', 'MOTTI'],\n",
       "  'TARKIN': ['DARTH VADER', 'TARKIN'],\n",
       "  'OBI-WAN': ['DARTH VADER', 'OBI-WAN'],\n",
       "  'R2-D2': ['DARTH VADER', 'LEIA', 'R2-D2'],\n",
       "  'CHEWBACCA': ['DARTH VADER', 'LEIA', 'CHEWBACCA'],\n",
       "  'C-3PO': ['DARTH VADER', 'LEIA', 'C-3PO'],\n",
       "  'LUKE': ['DARTH VADER', 'LEIA', 'LUKE'],\n",
       "  'BIGGS': ['DARTH VADER', 'LEIA', 'BIGGS'],\n",
       "  'BERU': ['DARTH VADER', 'LEIA', 'BERU'],\n",
       "  'HAN': ['DARTH VADER', 'LEIA', 'HAN'],\n",
       "  'RED LEADER': ['DARTH VADER', 'LEIA', 'RED LEADER'],\n",
       "  'OWEN': ['DARTH VADER', 'LEIA', 'R2-D2', 'OWEN'],\n",
       "  'CAMIE': ['DARTH VADER', 'LEIA', 'LUKE', 'CAMIE'],\n",
       "  'DODONNA': ['DARTH VADER', 'LEIA', 'LUKE', 'DODONNA'],\n",
       "  'GOLD LEADER': ['DARTH VADER', 'LEIA', 'LUKE', 'GOLD LEADER'],\n",
       "  'WEDGE': ['DARTH VADER', 'LEIA', 'LUKE', 'WEDGE'],\n",
       "  'RED TEN': ['DARTH VADER', 'LEIA', 'LUKE', 'RED TEN'],\n",
       "  'GREEDO': ['DARTH VADER', 'LEIA', 'HAN', 'GREEDO'],\n",
       "  'JABBA': ['DARTH VADER', 'LEIA', 'HAN', 'JABBA']},\n",
       " 'CAMIE': {'CAMIE': ['CAMIE'],\n",
       "  'LUKE': ['CAMIE', 'LUKE'],\n",
       "  'BIGGS': ['CAMIE', 'BIGGS'],\n",
       "  'R2-D2': ['CAMIE', 'LUKE', 'R2-D2'],\n",
       "  'CHEWBACCA': ['CAMIE', 'LUKE', 'CHEWBACCA'],\n",
       "  'C-3PO': ['CAMIE', 'LUKE', 'C-3PO'],\n",
       "  'BERU': ['CAMIE', 'LUKE', 'BERU'],\n",
       "  'OWEN': ['CAMIE', 'LUKE', 'OWEN'],\n",
       "  'LEIA': ['CAMIE', 'LUKE', 'LEIA'],\n",
       "  'OBI-WAN': ['CAMIE', 'LUKE', 'OBI-WAN'],\n",
       "  'HAN': ['CAMIE', 'LUKE', 'HAN'],\n",
       "  'DODONNA': ['CAMIE', 'LUKE', 'DODONNA'],\n",
       "  'GOLD LEADER': ['CAMIE', 'LUKE', 'GOLD LEADER'],\n",
       "  'WEDGE': ['CAMIE', 'LUKE', 'WEDGE'],\n",
       "  'RED LEADER': ['CAMIE', 'LUKE', 'RED LEADER'],\n",
       "  'RED TEN': ['CAMIE', 'LUKE', 'RED TEN'],\n",
       "  'DARTH VADER': ['CAMIE', 'LUKE', 'LEIA', 'DARTH VADER'],\n",
       "  'MOTTI': ['CAMIE', 'LUKE', 'LEIA', 'MOTTI'],\n",
       "  'TARKIN': ['CAMIE', 'LUKE', 'LEIA', 'TARKIN'],\n",
       "  'GREEDO': ['CAMIE', 'LUKE', 'HAN', 'GREEDO'],\n",
       "  'JABBA': ['CAMIE', 'LUKE', 'HAN', 'JABBA']},\n",
       " 'BIGGS': {'BIGGS': ['BIGGS'],\n",
       "  'R2-D2': ['BIGGS', 'R2-D2'],\n",
       "  'C-3PO': ['BIGGS', 'C-3PO'],\n",
       "  'LUKE': ['BIGGS', 'LUKE'],\n",
       "  'CAMIE': ['BIGGS', 'CAMIE'],\n",
       "  'LEIA': ['BIGGS', 'LEIA'],\n",
       "  'RED LEADER': ['BIGGS', 'RED LEADER'],\n",
       "  'WEDGE': ['BIGGS', 'WEDGE'],\n",
       "  'GOLD LEADER': ['BIGGS', 'GOLD LEADER'],\n",
       "  'CHEWBACCA': ['BIGGS', 'R2-D2', 'CHEWBACCA'],\n",
       "  'BERU': ['BIGGS', 'R2-D2', 'BERU'],\n",
       "  'OWEN': ['BIGGS', 'R2-D2', 'OWEN'],\n",
       "  'OBI-WAN': ['BIGGS', 'R2-D2', 'OBI-WAN'],\n",
       "  'HAN': ['BIGGS', 'R2-D2', 'HAN'],\n",
       "  'DODONNA': ['BIGGS', 'LUKE', 'DODONNA'],\n",
       "  'RED TEN': ['BIGGS', 'LUKE', 'RED TEN'],\n",
       "  'DARTH VADER': ['BIGGS', 'LEIA', 'DARTH VADER'],\n",
       "  'MOTTI': ['BIGGS', 'LEIA', 'MOTTI'],\n",
       "  'TARKIN': ['BIGGS', 'LEIA', 'TARKIN'],\n",
       "  'GREEDO': ['BIGGS', 'R2-D2', 'HAN', 'GREEDO'],\n",
       "  'JABBA': ['BIGGS', 'R2-D2', 'HAN', 'JABBA']},\n",
       " 'LEIA': {'LEIA': ['LEIA'],\n",
       "  'R2-D2': ['LEIA', 'R2-D2'],\n",
       "  'CHEWBACCA': ['LEIA', 'CHEWBACCA'],\n",
       "  'C-3PO': ['LEIA', 'C-3PO'],\n",
       "  'LUKE': ['LEIA', 'LUKE'],\n",
       "  'DARTH VADER': ['LEIA', 'DARTH VADER'],\n",
       "  'BIGGS': ['LEIA', 'BIGGS'],\n",
       "  'BERU': ['LEIA', 'BERU'],\n",
       "  'OBI-WAN': ['LEIA', 'OBI-WAN'],\n",
       "  'MOTTI': ['LEIA', 'MOTTI'],\n",
       "  'TARKIN': ['LEIA', 'TARKIN'],\n",
       "  'HAN': ['LEIA', 'HAN'],\n",
       "  'RED LEADER': ['LEIA', 'RED LEADER'],\n",
       "  'OWEN': ['LEIA', 'R2-D2', 'OWEN'],\n",
       "  'CAMIE': ['LEIA', 'LUKE', 'CAMIE'],\n",
       "  'DODONNA': ['LEIA', 'LUKE', 'DODONNA'],\n",
       "  'GOLD LEADER': ['LEIA', 'LUKE', 'GOLD LEADER'],\n",
       "  'WEDGE': ['LEIA', 'LUKE', 'WEDGE'],\n",
       "  'RED TEN': ['LEIA', 'LUKE', 'RED TEN'],\n",
       "  'GREEDO': ['LEIA', 'HAN', 'GREEDO'],\n",
       "  'JABBA': ['LEIA', 'HAN', 'JABBA']},\n",
       " 'BERU': {'BERU': ['BERU'],\n",
       "  'R2-D2': ['BERU', 'R2-D2'],\n",
       "  'C-3PO': ['BERU', 'C-3PO'],\n",
       "  'LUKE': ['BERU', 'LUKE'],\n",
       "  'LEIA': ['BERU', 'LEIA'],\n",
       "  'OWEN': ['BERU', 'OWEN'],\n",
       "  'CHEWBACCA': ['BERU', 'R2-D2', 'CHEWBACCA'],\n",
       "  'OBI-WAN': ['BERU', 'R2-D2', 'OBI-WAN'],\n",
       "  'BIGGS': ['BERU', 'R2-D2', 'BIGGS'],\n",
       "  'HAN': ['BERU', 'R2-D2', 'HAN'],\n",
       "  'RED LEADER': ['BERU', 'C-3PO', 'RED LEADER'],\n",
       "  'CAMIE': ['BERU', 'LUKE', 'CAMIE'],\n",
       "  'DODONNA': ['BERU', 'LUKE', 'DODONNA'],\n",
       "  'GOLD LEADER': ['BERU', 'LUKE', 'GOLD LEADER'],\n",
       "  'WEDGE': ['BERU', 'LUKE', 'WEDGE'],\n",
       "  'RED TEN': ['BERU', 'LUKE', 'RED TEN'],\n",
       "  'DARTH VADER': ['BERU', 'LEIA', 'DARTH VADER'],\n",
       "  'MOTTI': ['BERU', 'LEIA', 'MOTTI'],\n",
       "  'TARKIN': ['BERU', 'LEIA', 'TARKIN'],\n",
       "  'GREEDO': ['BERU', 'R2-D2', 'HAN', 'GREEDO'],\n",
       "  'JABBA': ['BERU', 'R2-D2', 'HAN', 'JABBA']},\n",
       " 'OWEN': {'OWEN': ['OWEN'],\n",
       "  'R2-D2': ['OWEN', 'R2-D2'],\n",
       "  'C-3PO': ['OWEN', 'C-3PO'],\n",
       "  'LUKE': ['OWEN', 'LUKE'],\n",
       "  'BERU': ['OWEN', 'BERU'],\n",
       "  'CHEWBACCA': ['OWEN', 'R2-D2', 'CHEWBACCA'],\n",
       "  'OBI-WAN': ['OWEN', 'R2-D2', 'OBI-WAN'],\n",
       "  'LEIA': ['OWEN', 'R2-D2', 'LEIA'],\n",
       "  'BIGGS': ['OWEN', 'R2-D2', 'BIGGS'],\n",
       "  'HAN': ['OWEN', 'R2-D2', 'HAN'],\n",
       "  'RED LEADER': ['OWEN', 'C-3PO', 'RED LEADER'],\n",
       "  'CAMIE': ['OWEN', 'LUKE', 'CAMIE'],\n",
       "  'DODONNA': ['OWEN', 'LUKE', 'DODONNA'],\n",
       "  'GOLD LEADER': ['OWEN', 'LUKE', 'GOLD LEADER'],\n",
       "  'WEDGE': ['OWEN', 'LUKE', 'WEDGE'],\n",
       "  'RED TEN': ['OWEN', 'LUKE', 'RED TEN'],\n",
       "  'DARTH VADER': ['OWEN', 'R2-D2', 'OBI-WAN', 'DARTH VADER'],\n",
       "  'MOTTI': ['OWEN', 'R2-D2', 'LEIA', 'MOTTI'],\n",
       "  'TARKIN': ['OWEN', 'R2-D2', 'LEIA', 'TARKIN'],\n",
       "  'GREEDO': ['OWEN', 'R2-D2', 'HAN', 'GREEDO'],\n",
       "  'JABBA': ['OWEN', 'R2-D2', 'HAN', 'JABBA']},\n",
       " 'OBI-WAN': {'OBI-WAN': ['OBI-WAN'],\n",
       "  'R2-D2': ['OBI-WAN', 'R2-D2'],\n",
       "  'CHEWBACCA': ['OBI-WAN', 'CHEWBACCA'],\n",
       "  'C-3PO': ['OBI-WAN', 'C-3PO'],\n",
       "  'LUKE': ['OBI-WAN', 'LUKE'],\n",
       "  'DARTH VADER': ['OBI-WAN', 'DARTH VADER'],\n",
       "  'LEIA': ['OBI-WAN', 'LEIA'],\n",
       "  'HAN': ['OBI-WAN', 'HAN'],\n",
       "  'BERU': ['OBI-WAN', 'R2-D2', 'BERU'],\n",
       "  'OWEN': ['OBI-WAN', 'R2-D2', 'OWEN'],\n",
       "  'BIGGS': ['OBI-WAN', 'R2-D2', 'BIGGS'],\n",
       "  'RED LEADER': ['OBI-WAN', 'C-3PO', 'RED LEADER'],\n",
       "  'CAMIE': ['OBI-WAN', 'LUKE', 'CAMIE'],\n",
       "  'DODONNA': ['OBI-WAN', 'LUKE', 'DODONNA'],\n",
       "  'GOLD LEADER': ['OBI-WAN', 'LUKE', 'GOLD LEADER'],\n",
       "  'WEDGE': ['OBI-WAN', 'LUKE', 'WEDGE'],\n",
       "  'RED TEN': ['OBI-WAN', 'LUKE', 'RED TEN'],\n",
       "  'MOTTI': ['OBI-WAN', 'DARTH VADER', 'MOTTI'],\n",
       "  'TARKIN': ['OBI-WAN', 'DARTH VADER', 'TARKIN'],\n",
       "  'GREEDO': ['OBI-WAN', 'HAN', 'GREEDO'],\n",
       "  'JABBA': ['OBI-WAN', 'HAN', 'JABBA']},\n",
       " 'MOTTI': {'MOTTI': ['MOTTI'],\n",
       "  'DARTH VADER': ['MOTTI', 'DARTH VADER'],\n",
       "  'LEIA': ['MOTTI', 'LEIA'],\n",
       "  'TARKIN': ['MOTTI', 'TARKIN'],\n",
       "  'OBI-WAN': ['MOTTI', 'DARTH VADER', 'OBI-WAN'],\n",
       "  'R2-D2': ['MOTTI', 'LEIA', 'R2-D2'],\n",
       "  'CHEWBACCA': ['MOTTI', 'LEIA', 'CHEWBACCA'],\n",
       "  'C-3PO': ['MOTTI', 'LEIA', 'C-3PO'],\n",
       "  'LUKE': ['MOTTI', 'LEIA', 'LUKE'],\n",
       "  'BIGGS': ['MOTTI', 'LEIA', 'BIGGS'],\n",
       "  'BERU': ['MOTTI', 'LEIA', 'BERU'],\n",
       "  'HAN': ['MOTTI', 'LEIA', 'HAN'],\n",
       "  'RED LEADER': ['MOTTI', 'LEIA', 'RED LEADER'],\n",
       "  'OWEN': ['MOTTI', 'LEIA', 'R2-D2', 'OWEN'],\n",
       "  'CAMIE': ['MOTTI', 'LEIA', 'LUKE', 'CAMIE'],\n",
       "  'DODONNA': ['MOTTI', 'LEIA', 'LUKE', 'DODONNA'],\n",
       "  'GOLD LEADER': ['MOTTI', 'LEIA', 'LUKE', 'GOLD LEADER'],\n",
       "  'WEDGE': ['MOTTI', 'LEIA', 'LUKE', 'WEDGE'],\n",
       "  'RED TEN': ['MOTTI', 'LEIA', 'LUKE', 'RED TEN'],\n",
       "  'GREEDO': ['MOTTI', 'LEIA', 'HAN', 'GREEDO'],\n",
       "  'JABBA': ['MOTTI', 'LEIA', 'HAN', 'JABBA']},\n",
       " 'TARKIN': {'TARKIN': ['TARKIN'],\n",
       "  'DARTH VADER': ['TARKIN', 'DARTH VADER'],\n",
       "  'LEIA': ['TARKIN', 'LEIA'],\n",
       "  'MOTTI': ['TARKIN', 'MOTTI'],\n",
       "  'OBI-WAN': ['TARKIN', 'DARTH VADER', 'OBI-WAN'],\n",
       "  'R2-D2': ['TARKIN', 'LEIA', 'R2-D2'],\n",
       "  'CHEWBACCA': ['TARKIN', 'LEIA', 'CHEWBACCA'],\n",
       "  'C-3PO': ['TARKIN', 'LEIA', 'C-3PO'],\n",
       "  'LUKE': ['TARKIN', 'LEIA', 'LUKE'],\n",
       "  'BIGGS': ['TARKIN', 'LEIA', 'BIGGS'],\n",
       "  'BERU': ['TARKIN', 'LEIA', 'BERU'],\n",
       "  'HAN': ['TARKIN', 'LEIA', 'HAN'],\n",
       "  'RED LEADER': ['TARKIN', 'LEIA', 'RED LEADER'],\n",
       "  'OWEN': ['TARKIN', 'LEIA', 'R2-D2', 'OWEN'],\n",
       "  'CAMIE': ['TARKIN', 'LEIA', 'LUKE', 'CAMIE'],\n",
       "  'DODONNA': ['TARKIN', 'LEIA', 'LUKE', 'DODONNA'],\n",
       "  'GOLD LEADER': ['TARKIN', 'LEIA', 'LUKE', 'GOLD LEADER'],\n",
       "  'WEDGE': ['TARKIN', 'LEIA', 'LUKE', 'WEDGE'],\n",
       "  'RED TEN': ['TARKIN', 'LEIA', 'LUKE', 'RED TEN'],\n",
       "  'GREEDO': ['TARKIN', 'LEIA', 'HAN', 'GREEDO'],\n",
       "  'JABBA': ['TARKIN', 'LEIA', 'HAN', 'JABBA']},\n",
       " 'HAN': {'HAN': ['HAN'],\n",
       "  'R2-D2': ['HAN', 'R2-D2'],\n",
       "  'CHEWBACCA': ['HAN', 'CHEWBACCA'],\n",
       "  'C-3PO': ['HAN', 'C-3PO'],\n",
       "  'LUKE': ['HAN', 'LUKE'],\n",
       "  'LEIA': ['HAN', 'LEIA'],\n",
       "  'OBI-WAN': ['HAN', 'OBI-WAN'],\n",
       "  'GREEDO': ['HAN', 'GREEDO'],\n",
       "  'JABBA': ['HAN', 'JABBA'],\n",
       "  'BERU': ['HAN', 'R2-D2', 'BERU'],\n",
       "  'OWEN': ['HAN', 'R2-D2', 'OWEN'],\n",
       "  'BIGGS': ['HAN', 'R2-D2', 'BIGGS'],\n",
       "  'RED LEADER': ['HAN', 'C-3PO', 'RED LEADER'],\n",
       "  'CAMIE': ['HAN', 'LUKE', 'CAMIE'],\n",
       "  'DODONNA': ['HAN', 'LUKE', 'DODONNA'],\n",
       "  'GOLD LEADER': ['HAN', 'LUKE', 'GOLD LEADER'],\n",
       "  'WEDGE': ['HAN', 'LUKE', 'WEDGE'],\n",
       "  'RED TEN': ['HAN', 'LUKE', 'RED TEN'],\n",
       "  'DARTH VADER': ['HAN', 'LEIA', 'DARTH VADER'],\n",
       "  'MOTTI': ['HAN', 'LEIA', 'MOTTI'],\n",
       "  'TARKIN': ['HAN', 'LEIA', 'TARKIN']},\n",
       " 'GREEDO': {'GREEDO': ['GREEDO'],\n",
       "  'HAN': ['GREEDO', 'HAN'],\n",
       "  'R2-D2': ['GREEDO', 'HAN', 'R2-D2'],\n",
       "  'CHEWBACCA': ['GREEDO', 'HAN', 'CHEWBACCA'],\n",
       "  'C-3PO': ['GREEDO', 'HAN', 'C-3PO'],\n",
       "  'LUKE': ['GREEDO', 'HAN', 'LUKE'],\n",
       "  'LEIA': ['GREEDO', 'HAN', 'LEIA'],\n",
       "  'OBI-WAN': ['GREEDO', 'HAN', 'OBI-WAN'],\n",
       "  'JABBA': ['GREEDO', 'HAN', 'JABBA'],\n",
       "  'BERU': ['GREEDO', 'HAN', 'R2-D2', 'BERU'],\n",
       "  'OWEN': ['GREEDO', 'HAN', 'R2-D2', 'OWEN'],\n",
       "  'BIGGS': ['GREEDO', 'HAN', 'R2-D2', 'BIGGS'],\n",
       "  'RED LEADER': ['GREEDO', 'HAN', 'C-3PO', 'RED LEADER'],\n",
       "  'CAMIE': ['GREEDO', 'HAN', 'LUKE', 'CAMIE'],\n",
       "  'DODONNA': ['GREEDO', 'HAN', 'LUKE', 'DODONNA'],\n",
       "  'GOLD LEADER': ['GREEDO', 'HAN', 'LUKE', 'GOLD LEADER'],\n",
       "  'WEDGE': ['GREEDO', 'HAN', 'LUKE', 'WEDGE'],\n",
       "  'RED TEN': ['GREEDO', 'HAN', 'LUKE', 'RED TEN'],\n",
       "  'DARTH VADER': ['GREEDO', 'HAN', 'LEIA', 'DARTH VADER'],\n",
       "  'MOTTI': ['GREEDO', 'HAN', 'LEIA', 'MOTTI'],\n",
       "  'TARKIN': ['GREEDO', 'HAN', 'LEIA', 'TARKIN']},\n",
       " 'JABBA': {'JABBA': ['JABBA'],\n",
       "  'HAN': ['JABBA', 'HAN'],\n",
       "  'R2-D2': ['JABBA', 'HAN', 'R2-D2'],\n",
       "  'CHEWBACCA': ['JABBA', 'HAN', 'CHEWBACCA'],\n",
       "  'C-3PO': ['JABBA', 'HAN', 'C-3PO'],\n",
       "  'LUKE': ['JABBA', 'HAN', 'LUKE'],\n",
       "  'LEIA': ['JABBA', 'HAN', 'LEIA'],\n",
       "  'OBI-WAN': ['JABBA', 'HAN', 'OBI-WAN'],\n",
       "  'GREEDO': ['JABBA', 'HAN', 'GREEDO'],\n",
       "  'BERU': ['JABBA', 'HAN', 'R2-D2', 'BERU'],\n",
       "  'OWEN': ['JABBA', 'HAN', 'R2-D2', 'OWEN'],\n",
       "  'BIGGS': ['JABBA', 'HAN', 'R2-D2', 'BIGGS'],\n",
       "  'RED LEADER': ['JABBA', 'HAN', 'C-3PO', 'RED LEADER'],\n",
       "  'CAMIE': ['JABBA', 'HAN', 'LUKE', 'CAMIE'],\n",
       "  'DODONNA': ['JABBA', 'HAN', 'LUKE', 'DODONNA'],\n",
       "  'GOLD LEADER': ['JABBA', 'HAN', 'LUKE', 'GOLD LEADER'],\n",
       "  'WEDGE': ['JABBA', 'HAN', 'LUKE', 'WEDGE'],\n",
       "  'RED TEN': ['JABBA', 'HAN', 'LUKE', 'RED TEN'],\n",
       "  'DARTH VADER': ['JABBA', 'HAN', 'LEIA', 'DARTH VADER'],\n",
       "  'MOTTI': ['JABBA', 'HAN', 'LEIA', 'MOTTI'],\n",
       "  'TARKIN': ['JABBA', 'HAN', 'LEIA', 'TARKIN']},\n",
       " 'DODONNA': {'DODONNA': ['DODONNA'],\n",
       "  'LUKE': ['DODONNA', 'LUKE'],\n",
       "  'GOLD LEADER': ['DODONNA', 'GOLD LEADER'],\n",
       "  'WEDGE': ['DODONNA', 'WEDGE'],\n",
       "  'R2-D2': ['DODONNA', 'LUKE', 'R2-D2'],\n",
       "  'CHEWBACCA': ['DODONNA', 'LUKE', 'CHEWBACCA'],\n",
       "  'C-3PO': ['DODONNA', 'LUKE', 'C-3PO'],\n",
       "  'CAMIE': ['DODONNA', 'LUKE', 'CAMIE'],\n",
       "  'BIGGS': ['DODONNA', 'LUKE', 'BIGGS'],\n",
       "  'BERU': ['DODONNA', 'LUKE', 'BERU'],\n",
       "  'OWEN': ['DODONNA', 'LUKE', 'OWEN'],\n",
       "  'LEIA': ['DODONNA', 'LUKE', 'LEIA'],\n",
       "  'OBI-WAN': ['DODONNA', 'LUKE', 'OBI-WAN'],\n",
       "  'HAN': ['DODONNA', 'LUKE', 'HAN'],\n",
       "  'RED LEADER': ['DODONNA', 'LUKE', 'RED LEADER'],\n",
       "  'RED TEN': ['DODONNA', 'LUKE', 'RED TEN'],\n",
       "  'DARTH VADER': ['DODONNA', 'LUKE', 'LEIA', 'DARTH VADER'],\n",
       "  'MOTTI': ['DODONNA', 'LUKE', 'LEIA', 'MOTTI'],\n",
       "  'TARKIN': ['DODONNA', 'LUKE', 'LEIA', 'TARKIN'],\n",
       "  'GREEDO': ['DODONNA', 'LUKE', 'HAN', 'GREEDO'],\n",
       "  'JABBA': ['DODONNA', 'LUKE', 'HAN', 'JABBA']},\n",
       " 'GOLD LEADER': {'GOLD LEADER': ['GOLD LEADER'],\n",
       "  'LUKE': ['GOLD LEADER', 'LUKE'],\n",
       "  'BIGGS': ['GOLD LEADER', 'BIGGS'],\n",
       "  'DODONNA': ['GOLD LEADER', 'DODONNA'],\n",
       "  'WEDGE': ['GOLD LEADER', 'WEDGE'],\n",
       "  'RED LEADER': ['GOLD LEADER', 'RED LEADER'],\n",
       "  'R2-D2': ['GOLD LEADER', 'LUKE', 'R2-D2'],\n",
       "  'CHEWBACCA': ['GOLD LEADER', 'LUKE', 'CHEWBACCA'],\n",
       "  'C-3PO': ['GOLD LEADER', 'LUKE', 'C-3PO'],\n",
       "  'CAMIE': ['GOLD LEADER', 'LUKE', 'CAMIE'],\n",
       "  'BERU': ['GOLD LEADER', 'LUKE', 'BERU'],\n",
       "  'OWEN': ['GOLD LEADER', 'LUKE', 'OWEN'],\n",
       "  'LEIA': ['GOLD LEADER', 'LUKE', 'LEIA'],\n",
       "  'OBI-WAN': ['GOLD LEADER', 'LUKE', 'OBI-WAN'],\n",
       "  'HAN': ['GOLD LEADER', 'LUKE', 'HAN'],\n",
       "  'RED TEN': ['GOLD LEADER', 'LUKE', 'RED TEN'],\n",
       "  'DARTH VADER': ['GOLD LEADER', 'LUKE', 'LEIA', 'DARTH VADER'],\n",
       "  'MOTTI': ['GOLD LEADER', 'LUKE', 'LEIA', 'MOTTI'],\n",
       "  'TARKIN': ['GOLD LEADER', 'LUKE', 'LEIA', 'TARKIN'],\n",
       "  'GREEDO': ['GOLD LEADER', 'LUKE', 'HAN', 'GREEDO'],\n",
       "  'JABBA': ['GOLD LEADER', 'LUKE', 'HAN', 'JABBA']},\n",
       " 'WEDGE': {'WEDGE': ['WEDGE'],\n",
       "  'LUKE': ['WEDGE', 'LUKE'],\n",
       "  'BIGGS': ['WEDGE', 'BIGGS'],\n",
       "  'DODONNA': ['WEDGE', 'DODONNA'],\n",
       "  'GOLD LEADER': ['WEDGE', 'GOLD LEADER'],\n",
       "  'RED LEADER': ['WEDGE', 'RED LEADER'],\n",
       "  'R2-D2': ['WEDGE', 'LUKE', 'R2-D2'],\n",
       "  'CHEWBACCA': ['WEDGE', 'LUKE', 'CHEWBACCA'],\n",
       "  'C-3PO': ['WEDGE', 'LUKE', 'C-3PO'],\n",
       "  'CAMIE': ['WEDGE', 'LUKE', 'CAMIE'],\n",
       "  'BERU': ['WEDGE', 'LUKE', 'BERU'],\n",
       "  'OWEN': ['WEDGE', 'LUKE', 'OWEN'],\n",
       "  'LEIA': ['WEDGE', 'LUKE', 'LEIA'],\n",
       "  'OBI-WAN': ['WEDGE', 'LUKE', 'OBI-WAN'],\n",
       "  'HAN': ['WEDGE', 'LUKE', 'HAN'],\n",
       "  'RED TEN': ['WEDGE', 'LUKE', 'RED TEN'],\n",
       "  'DARTH VADER': ['WEDGE', 'LUKE', 'LEIA', 'DARTH VADER'],\n",
       "  'MOTTI': ['WEDGE', 'LUKE', 'LEIA', 'MOTTI'],\n",
       "  'TARKIN': ['WEDGE', 'LUKE', 'LEIA', 'TARKIN'],\n",
       "  'GREEDO': ['WEDGE', 'LUKE', 'HAN', 'GREEDO'],\n",
       "  'JABBA': ['WEDGE', 'LUKE', 'HAN', 'JABBA']},\n",
       " 'RED LEADER': {'RED LEADER': ['RED LEADER'],\n",
       "  'C-3PO': ['RED LEADER', 'C-3PO'],\n",
       "  'LUKE': ['RED LEADER', 'LUKE'],\n",
       "  'BIGGS': ['RED LEADER', 'BIGGS'],\n",
       "  'LEIA': ['RED LEADER', 'LEIA'],\n",
       "  'GOLD LEADER': ['RED LEADER', 'GOLD LEADER'],\n",
       "  'WEDGE': ['RED LEADER', 'WEDGE'],\n",
       "  'RED TEN': ['RED LEADER', 'RED TEN'],\n",
       "  'R2-D2': ['RED LEADER', 'C-3PO', 'R2-D2'],\n",
       "  'CHEWBACCA': ['RED LEADER', 'C-3PO', 'CHEWBACCA'],\n",
       "  'BERU': ['RED LEADER', 'C-3PO', 'BERU'],\n",
       "  'OWEN': ['RED LEADER', 'C-3PO', 'OWEN'],\n",
       "  'OBI-WAN': ['RED LEADER', 'C-3PO', 'OBI-WAN'],\n",
       "  'HAN': ['RED LEADER', 'C-3PO', 'HAN'],\n",
       "  'CAMIE': ['RED LEADER', 'LUKE', 'CAMIE'],\n",
       "  'DODONNA': ['RED LEADER', 'LUKE', 'DODONNA'],\n",
       "  'DARTH VADER': ['RED LEADER', 'LEIA', 'DARTH VADER'],\n",
       "  'MOTTI': ['RED LEADER', 'LEIA', 'MOTTI'],\n",
       "  'TARKIN': ['RED LEADER', 'LEIA', 'TARKIN'],\n",
       "  'GREEDO': ['RED LEADER', 'C-3PO', 'HAN', 'GREEDO'],\n",
       "  'JABBA': ['RED LEADER', 'C-3PO', 'HAN', 'JABBA']},\n",
       " 'RED TEN': {'RED TEN': ['RED TEN'],\n",
       "  'LUKE': ['RED TEN', 'LUKE'],\n",
       "  'RED LEADER': ['RED TEN', 'RED LEADER'],\n",
       "  'R2-D2': ['RED TEN', 'LUKE', 'R2-D2'],\n",
       "  'CHEWBACCA': ['RED TEN', 'LUKE', 'CHEWBACCA'],\n",
       "  'C-3PO': ['RED TEN', 'LUKE', 'C-3PO'],\n",
       "  'CAMIE': ['RED TEN', 'LUKE', 'CAMIE'],\n",
       "  'BIGGS': ['RED TEN', 'LUKE', 'BIGGS'],\n",
       "  'BERU': ['RED TEN', 'LUKE', 'BERU'],\n",
       "  'OWEN': ['RED TEN', 'LUKE', 'OWEN'],\n",
       "  'LEIA': ['RED TEN', 'LUKE', 'LEIA'],\n",
       "  'OBI-WAN': ['RED TEN', 'LUKE', 'OBI-WAN'],\n",
       "  'HAN': ['RED TEN', 'LUKE', 'HAN'],\n",
       "  'DODONNA': ['RED TEN', 'LUKE', 'DODONNA'],\n",
       "  'GOLD LEADER': ['RED TEN', 'LUKE', 'GOLD LEADER'],\n",
       "  'WEDGE': ['RED TEN', 'LUKE', 'WEDGE'],\n",
       "  'DARTH VADER': ['RED TEN', 'LUKE', 'LEIA', 'DARTH VADER'],\n",
       "  'MOTTI': ['RED TEN', 'LUKE', 'LEIA', 'MOTTI'],\n",
       "  'TARKIN': ['RED TEN', 'LUKE', 'LEIA', 'TARKIN'],\n",
       "  'GREEDO': ['RED TEN', 'LUKE', 'HAN', 'GREEDO'],\n",
       "  'JABBA': ['RED TEN', 'LUKE', 'HAN', 'JABBA']},\n",
       " 'GOLD FIVE': {'GOLD FIVE': ['GOLD FIVE']}}"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# All of the shortest paths in the graph\n",
    "nx.shortest_path(G)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['TARKIN', 'LEIA', 'HAN', 'JABBA']\n",
      "\n",
      "Moff Tarkin and everyone else:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'TARKIN': ['TARKIN'],\n",
       " 'DARTH VADER': ['TARKIN', 'DARTH VADER'],\n",
       " 'LEIA': ['TARKIN', 'LEIA'],\n",
       " 'MOTTI': ['TARKIN', 'MOTTI'],\n",
       " 'OBI-WAN': ['TARKIN', 'DARTH VADER', 'OBI-WAN'],\n",
       " 'R2-D2': ['TARKIN', 'LEIA', 'R2-D2'],\n",
       " 'CHEWBACCA': ['TARKIN', 'LEIA', 'CHEWBACCA'],\n",
       " 'C-3PO': ['TARKIN', 'LEIA', 'C-3PO'],\n",
       " 'LUKE': ['TARKIN', 'LEIA', 'LUKE'],\n",
       " 'BIGGS': ['TARKIN', 'LEIA', 'BIGGS'],\n",
       " 'BERU': ['TARKIN', 'LEIA', 'BERU'],\n",
       " 'HAN': ['TARKIN', 'LEIA', 'HAN'],\n",
       " 'RED LEADER': ['TARKIN', 'LEIA', 'RED LEADER'],\n",
       " 'OWEN': ['TARKIN', 'LEIA', 'R2-D2', 'OWEN'],\n",
       " 'CAMIE': ['TARKIN', 'LEIA', 'LUKE', 'CAMIE'],\n",
       " 'DODONNA': ['TARKIN', 'LEIA', 'LUKE', 'DODONNA'],\n",
       " 'GOLD LEADER': ['TARKIN', 'LEIA', 'LUKE', 'GOLD LEADER'],\n",
       " 'WEDGE': ['TARKIN', 'LEIA', 'LUKE', 'WEDGE'],\n",
       " 'RED TEN': ['TARKIN', 'LEIA', 'LUKE', 'RED TEN'],\n",
       " 'GREEDO': ['TARKIN', 'LEIA', 'HAN', 'GREEDO'],\n",
       " 'JABBA': ['TARKIN', 'LEIA', 'HAN', 'JABBA']}"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Save shortest paths as an object\n",
    "murph = nx.shortest_path(J)\n",
    "\n",
    "# View shortest paths for any pair of characters\n",
    "print(murph['TARKIN']['JABBA'])\n",
    "\n",
    "# ...or any character to all others\n",
    "print(\"\\nMoff Tarkin and everyone else:\")\n",
    "murph['TARKIN']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'LUKE': 0.3223922902494331,\n",
       " 'LEIA': 0.2304988662131519,\n",
       " 'HAN': 0.1761904761904762,\n",
       " 'BIGGS': 0.041666666666666664,\n",
       " 'C-3PO': 0.04064625850340136,\n",
       " 'RED LEADER': 0.03333333333333334,\n",
       " 'R2-D2': 0.027551020408163276,\n",
       " 'OBI-WAN': 0.026643990929705215,\n",
       " 'DARTH VADER': 0.004761904761904762,\n",
       " 'BERU': 0.004251700680272109,\n",
       " 'GOLD LEADER': 0.0031746031746031746,\n",
       " 'WEDGE': 0.0031746031746031746,\n",
       " 'CHEWBACCA': 0.0,\n",
       " 'CAMIE': 0.0,\n",
       " 'OWEN': 0.0,\n",
       " 'MOTTI': 0.0,\n",
       " 'TARKIN': 0.0,\n",
       " 'GREEDO': 0.0,\n",
       " 'JABBA': 0.0,\n",
       " 'DODONNA': 0.0,\n",
       " 'RED TEN': 0.0,\n",
       " 'GOLD FIVE': 0.0}"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sort_dict(nx.betweenness_centrality(J), reverse=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Name: \\nType: Graph\\nNumber of nodes: 22\\nNumber of edges: 60\\nAverage degree:   5.4545'"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nx.info(J)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('R2-D2',\n",
       "  {'R2-D2': 0,\n",
       "   'CHEWBACCA': 1,\n",
       "   'C-3PO': 1,\n",
       "   'BERU': 1,\n",
       "   'LUKE': 1,\n",
       "   'OWEN': 1,\n",
       "   'OBI-WAN': 1,\n",
       "   'LEIA': 1,\n",
       "   'BIGGS': 1,\n",
       "   'HAN': 1,\n",
       "   'RED LEADER': 2,\n",
       "   'CAMIE': 2,\n",
       "   'DODONNA': 2,\n",
       "   'GOLD LEADER': 2,\n",
       "   'WEDGE': 2,\n",
       "   'RED TEN': 2,\n",
       "   'DARTH VADER': 2,\n",
       "   'MOTTI': 2,\n",
       "   'TARKIN': 2,\n",
       "   'GREEDO': 2,\n",
       "   'JABBA': 2}),\n",
       " ('CHEWBACCA',\n",
       "  {'CHEWBACCA': 0,\n",
       "   'R2-D2': 1,\n",
       "   'OBI-WAN': 1,\n",
       "   'C-3PO': 1,\n",
       "   'LUKE': 1,\n",
       "   'HAN': 1,\n",
       "   'LEIA': 1,\n",
       "   'BERU': 2,\n",
       "   'OWEN': 2,\n",
       "   'BIGGS': 2,\n",
       "   'DARTH VADER': 2,\n",
       "   'RED LEADER': 2,\n",
       "   'CAMIE': 2,\n",
       "   'DODONNA': 2,\n",
       "   'GOLD LEADER': 2,\n",
       "   'WEDGE': 2,\n",
       "   'RED TEN': 2,\n",
       "   'GREEDO': 2,\n",
       "   'JABBA': 2,\n",
       "   'MOTTI': 2,\n",
       "   'TARKIN': 2}),\n",
       " ('C-3PO',\n",
       "  {'C-3PO': 0,\n",
       "   'R2-D2': 1,\n",
       "   'CHEWBACCA': 1,\n",
       "   'BERU': 1,\n",
       "   'LUKE': 1,\n",
       "   'OWEN': 1,\n",
       "   'LEIA': 1,\n",
       "   'OBI-WAN': 1,\n",
       "   'HAN': 1,\n",
       "   'BIGGS': 1,\n",
       "   'RED LEADER': 1,\n",
       "   'CAMIE': 2,\n",
       "   'DODONNA': 2,\n",
       "   'GOLD LEADER': 2,\n",
       "   'WEDGE': 2,\n",
       "   'RED TEN': 2,\n",
       "   'DARTH VADER': 2,\n",
       "   'MOTTI': 2,\n",
       "   'TARKIN': 2,\n",
       "   'GREEDO': 2,\n",
       "   'JABBA': 2}),\n",
       " ('LUKE',\n",
       "  {'LUKE': 0,\n",
       "   'R2-D2': 1,\n",
       "   'CHEWBACCA': 1,\n",
       "   'C-3PO': 1,\n",
       "   'CAMIE': 1,\n",
       "   'BIGGS': 1,\n",
       "   'BERU': 1,\n",
       "   'OWEN': 1,\n",
       "   'LEIA': 1,\n",
       "   'OBI-WAN': 1,\n",
       "   'HAN': 1,\n",
       "   'DODONNA': 1,\n",
       "   'GOLD LEADER': 1,\n",
       "   'WEDGE': 1,\n",
       "   'RED LEADER': 1,\n",
       "   'RED TEN': 1,\n",
       "   'DARTH VADER': 2,\n",
       "   'MOTTI': 2,\n",
       "   'TARKIN': 2,\n",
       "   'GREEDO': 2,\n",
       "   'JABBA': 2}),\n",
       " ('DARTH VADER',\n",
       "  {'DARTH VADER': 0,\n",
       "   'LEIA': 1,\n",
       "   'MOTTI': 1,\n",
       "   'TARKIN': 1,\n",
       "   'OBI-WAN': 1,\n",
       "   'R2-D2': 2,\n",
       "   'CHEWBACCA': 2,\n",
       "   'C-3PO': 2,\n",
       "   'LUKE': 2,\n",
       "   'BIGGS': 2,\n",
       "   'BERU': 2,\n",
       "   'HAN': 2,\n",
       "   'RED LEADER': 2,\n",
       "   'OWEN': 3,\n",
       "   'CAMIE': 3,\n",
       "   'DODONNA': 3,\n",
       "   'GOLD LEADER': 3,\n",
       "   'WEDGE': 3,\n",
       "   'RED TEN': 3,\n",
       "   'GREEDO': 3,\n",
       "   'JABBA': 3}),\n",
       " ('CAMIE',\n",
       "  {'CAMIE': 0,\n",
       "   'LUKE': 1,\n",
       "   'BIGGS': 1,\n",
       "   'R2-D2': 2,\n",
       "   'CHEWBACCA': 2,\n",
       "   'C-3PO': 2,\n",
       "   'BERU': 2,\n",
       "   'OWEN': 2,\n",
       "   'LEIA': 2,\n",
       "   'OBI-WAN': 2,\n",
       "   'HAN': 2,\n",
       "   'DODONNA': 2,\n",
       "   'GOLD LEADER': 2,\n",
       "   'WEDGE': 2,\n",
       "   'RED LEADER': 2,\n",
       "   'RED TEN': 2,\n",
       "   'DARTH VADER': 3,\n",
       "   'MOTTI': 3,\n",
       "   'TARKIN': 3,\n",
       "   'GREEDO': 3,\n",
       "   'JABBA': 3}),\n",
       " ('BIGGS',\n",
       "  {'BIGGS': 0,\n",
       "   'R2-D2': 1,\n",
       "   'C-3PO': 1,\n",
       "   'LUKE': 1,\n",
       "   'CAMIE': 1,\n",
       "   'LEIA': 1,\n",
       "   'RED LEADER': 1,\n",
       "   'WEDGE': 1,\n",
       "   'GOLD LEADER': 1,\n",
       "   'CHEWBACCA': 2,\n",
       "   'BERU': 2,\n",
       "   'OWEN': 2,\n",
       "   'OBI-WAN': 2,\n",
       "   'HAN': 2,\n",
       "   'DODONNA': 2,\n",
       "   'RED TEN': 2,\n",
       "   'DARTH VADER': 2,\n",
       "   'MOTTI': 2,\n",
       "   'TARKIN': 2,\n",
       "   'GREEDO': 3,\n",
       "   'JABBA': 3}),\n",
       " ('LEIA',\n",
       "  {'LEIA': 0,\n",
       "   'R2-D2': 1,\n",
       "   'CHEWBACCA': 1,\n",
       "   'C-3PO': 1,\n",
       "   'LUKE': 1,\n",
       "   'DARTH VADER': 1,\n",
       "   'BIGGS': 1,\n",
       "   'BERU': 1,\n",
       "   'OBI-WAN': 1,\n",
       "   'MOTTI': 1,\n",
       "   'TARKIN': 1,\n",
       "   'HAN': 1,\n",
       "   'RED LEADER': 1,\n",
       "   'OWEN': 2,\n",
       "   'CAMIE': 2,\n",
       "   'DODONNA': 2,\n",
       "   'GOLD LEADER': 2,\n",
       "   'WEDGE': 2,\n",
       "   'RED TEN': 2,\n",
       "   'GREEDO': 2,\n",
       "   'JABBA': 2}),\n",
       " ('BERU',\n",
       "  {'BERU': 0,\n",
       "   'R2-D2': 1,\n",
       "   'C-3PO': 1,\n",
       "   'LUKE': 1,\n",
       "   'LEIA': 1,\n",
       "   'OWEN': 1,\n",
       "   'CHEWBACCA': 2,\n",
       "   'OBI-WAN': 2,\n",
       "   'BIGGS': 2,\n",
       "   'HAN': 2,\n",
       "   'RED LEADER': 2,\n",
       "   'CAMIE': 2,\n",
       "   'DODONNA': 2,\n",
       "   'GOLD LEADER': 2,\n",
       "   'WEDGE': 2,\n",
       "   'RED TEN': 2,\n",
       "   'DARTH VADER': 2,\n",
       "   'MOTTI': 2,\n",
       "   'TARKIN': 2,\n",
       "   'GREEDO': 3,\n",
       "   'JABBA': 3}),\n",
       " ('OWEN',\n",
       "  {'OWEN': 0,\n",
       "   'R2-D2': 1,\n",
       "   'C-3PO': 1,\n",
       "   'LUKE': 1,\n",
       "   'BERU': 1,\n",
       "   'CHEWBACCA': 2,\n",
       "   'OBI-WAN': 2,\n",
       "   'LEIA': 2,\n",
       "   'BIGGS': 2,\n",
       "   'HAN': 2,\n",
       "   'RED LEADER': 2,\n",
       "   'CAMIE': 2,\n",
       "   'DODONNA': 2,\n",
       "   'GOLD LEADER': 2,\n",
       "   'WEDGE': 2,\n",
       "   'RED TEN': 2,\n",
       "   'DARTH VADER': 3,\n",
       "   'MOTTI': 3,\n",
       "   'TARKIN': 3,\n",
       "   'GREEDO': 3,\n",
       "   'JABBA': 3}),\n",
       " ('OBI-WAN',\n",
       "  {'OBI-WAN': 0,\n",
       "   'R2-D2': 1,\n",
       "   'CHEWBACCA': 1,\n",
       "   'C-3PO': 1,\n",
       "   'LUKE': 1,\n",
       "   'DARTH VADER': 1,\n",
       "   'LEIA': 1,\n",
       "   'HAN': 1,\n",
       "   'BERU': 2,\n",
       "   'OWEN': 2,\n",
       "   'BIGGS': 2,\n",
       "   'RED LEADER': 2,\n",
       "   'CAMIE': 2,\n",
       "   'DODONNA': 2,\n",
       "   'GOLD LEADER': 2,\n",
       "   'WEDGE': 2,\n",
       "   'RED TEN': 2,\n",
       "   'MOTTI': 2,\n",
       "   'TARKIN': 2,\n",
       "   'GREEDO': 2,\n",
       "   'JABBA': 2}),\n",
       " ('MOTTI',\n",
       "  {'MOTTI': 0,\n",
       "   'DARTH VADER': 1,\n",
       "   'LEIA': 1,\n",
       "   'TARKIN': 1,\n",
       "   'OBI-WAN': 2,\n",
       "   'R2-D2': 2,\n",
       "   'CHEWBACCA': 2,\n",
       "   'C-3PO': 2,\n",
       "   'LUKE': 2,\n",
       "   'BIGGS': 2,\n",
       "   'BERU': 2,\n",
       "   'HAN': 2,\n",
       "   'RED LEADER': 2,\n",
       "   'OWEN': 3,\n",
       "   'CAMIE': 3,\n",
       "   'DODONNA': 3,\n",
       "   'GOLD LEADER': 3,\n",
       "   'WEDGE': 3,\n",
       "   'RED TEN': 3,\n",
       "   'GREEDO': 3,\n",
       "   'JABBA': 3}),\n",
       " ('TARKIN',\n",
       "  {'TARKIN': 0,\n",
       "   'DARTH VADER': 1,\n",
       "   'LEIA': 1,\n",
       "   'MOTTI': 1,\n",
       "   'OBI-WAN': 2,\n",
       "   'R2-D2': 2,\n",
       "   'CHEWBACCA': 2,\n",
       "   'C-3PO': 2,\n",
       "   'LUKE': 2,\n",
       "   'BIGGS': 2,\n",
       "   'BERU': 2,\n",
       "   'HAN': 2,\n",
       "   'RED LEADER': 2,\n",
       "   'OWEN': 3,\n",
       "   'CAMIE': 3,\n",
       "   'DODONNA': 3,\n",
       "   'GOLD LEADER': 3,\n",
       "   'WEDGE': 3,\n",
       "   'RED TEN': 3,\n",
       "   'GREEDO': 3,\n",
       "   'JABBA': 3}),\n",
       " ('HAN',\n",
       "  {'HAN': 0,\n",
       "   'R2-D2': 1,\n",
       "   'CHEWBACCA': 1,\n",
       "   'C-3PO': 1,\n",
       "   'LUKE': 1,\n",
       "   'LEIA': 1,\n",
       "   'OBI-WAN': 1,\n",
       "   'GREEDO': 1,\n",
       "   'JABBA': 1,\n",
       "   'BERU': 2,\n",
       "   'OWEN': 2,\n",
       "   'BIGGS': 2,\n",
       "   'RED LEADER': 2,\n",
       "   'CAMIE': 2,\n",
       "   'DODONNA': 2,\n",
       "   'GOLD LEADER': 2,\n",
       "   'WEDGE': 2,\n",
       "   'RED TEN': 2,\n",
       "   'DARTH VADER': 2,\n",
       "   'MOTTI': 2,\n",
       "   'TARKIN': 2}),\n",
       " ('GREEDO',\n",
       "  {'GREEDO': 0,\n",
       "   'HAN': 1,\n",
       "   'R2-D2': 2,\n",
       "   'CHEWBACCA': 2,\n",
       "   'C-3PO': 2,\n",
       "   'LUKE': 2,\n",
       "   'LEIA': 2,\n",
       "   'OBI-WAN': 2,\n",
       "   'JABBA': 2,\n",
       "   'BERU': 3,\n",
       "   'OWEN': 3,\n",
       "   'BIGGS': 3,\n",
       "   'RED LEADER': 3,\n",
       "   'CAMIE': 3,\n",
       "   'DODONNA': 3,\n",
       "   'GOLD LEADER': 3,\n",
       "   'WEDGE': 3,\n",
       "   'RED TEN': 3,\n",
       "   'DARTH VADER': 3,\n",
       "   'MOTTI': 3,\n",
       "   'TARKIN': 3}),\n",
       " ('JABBA',\n",
       "  {'JABBA': 0,\n",
       "   'HAN': 1,\n",
       "   'R2-D2': 2,\n",
       "   'CHEWBACCA': 2,\n",
       "   'C-3PO': 2,\n",
       "   'LUKE': 2,\n",
       "   'LEIA': 2,\n",
       "   'OBI-WAN': 2,\n",
       "   'GREEDO': 2,\n",
       "   'BERU': 3,\n",
       "   'OWEN': 3,\n",
       "   'BIGGS': 3,\n",
       "   'RED LEADER': 3,\n",
       "   'CAMIE': 3,\n",
       "   'DODONNA': 3,\n",
       "   'GOLD LEADER': 3,\n",
       "   'WEDGE': 3,\n",
       "   'RED TEN': 3,\n",
       "   'DARTH VADER': 3,\n",
       "   'MOTTI': 3,\n",
       "   'TARKIN': 3}),\n",
       " ('DODONNA',\n",
       "  {'DODONNA': 0,\n",
       "   'LUKE': 1,\n",
       "   'GOLD LEADER': 1,\n",
       "   'WEDGE': 1,\n",
       "   'R2-D2': 2,\n",
       "   'CHEWBACCA': 2,\n",
       "   'C-3PO': 2,\n",
       "   'CAMIE': 2,\n",
       "   'BIGGS': 2,\n",
       "   'BERU': 2,\n",
       "   'OWEN': 2,\n",
       "   'LEIA': 2,\n",
       "   'OBI-WAN': 2,\n",
       "   'HAN': 2,\n",
       "   'RED LEADER': 2,\n",
       "   'RED TEN': 2,\n",
       "   'DARTH VADER': 3,\n",
       "   'MOTTI': 3,\n",
       "   'TARKIN': 3,\n",
       "   'GREEDO': 3,\n",
       "   'JABBA': 3}),\n",
       " ('GOLD LEADER',\n",
       "  {'GOLD LEADER': 0,\n",
       "   'LUKE': 1,\n",
       "   'BIGGS': 1,\n",
       "   'DODONNA': 1,\n",
       "   'WEDGE': 1,\n",
       "   'RED LEADER': 1,\n",
       "   'R2-D2': 2,\n",
       "   'CHEWBACCA': 2,\n",
       "   'C-3PO': 2,\n",
       "   'CAMIE': 2,\n",
       "   'BERU': 2,\n",
       "   'OWEN': 2,\n",
       "   'LEIA': 2,\n",
       "   'OBI-WAN': 2,\n",
       "   'HAN': 2,\n",
       "   'RED TEN': 2,\n",
       "   'DARTH VADER': 3,\n",
       "   'MOTTI': 3,\n",
       "   'TARKIN': 3,\n",
       "   'GREEDO': 3,\n",
       "   'JABBA': 3}),\n",
       " ('WEDGE',\n",
       "  {'WEDGE': 0,\n",
       "   'LUKE': 1,\n",
       "   'BIGGS': 1,\n",
       "   'DODONNA': 1,\n",
       "   'GOLD LEADER': 1,\n",
       "   'RED LEADER': 1,\n",
       "   'R2-D2': 2,\n",
       "   'CHEWBACCA': 2,\n",
       "   'C-3PO': 2,\n",
       "   'CAMIE': 2,\n",
       "   'BERU': 2,\n",
       "   'OWEN': 2,\n",
       "   'LEIA': 2,\n",
       "   'OBI-WAN': 2,\n",
       "   'HAN': 2,\n",
       "   'RED TEN': 2,\n",
       "   'DARTH VADER': 3,\n",
       "   'MOTTI': 3,\n",
       "   'TARKIN': 3,\n",
       "   'GREEDO': 3,\n",
       "   'JABBA': 3}),\n",
       " ('RED LEADER',\n",
       "  {'RED LEADER': 0,\n",
       "   'C-3PO': 1,\n",
       "   'LUKE': 1,\n",
       "   'BIGGS': 1,\n",
       "   'LEIA': 1,\n",
       "   'GOLD LEADER': 1,\n",
       "   'WEDGE': 1,\n",
       "   'RED TEN': 1,\n",
       "   'R2-D2': 2,\n",
       "   'CHEWBACCA': 2,\n",
       "   'BERU': 2,\n",
       "   'OWEN': 2,\n",
       "   'OBI-WAN': 2,\n",
       "   'HAN': 2,\n",
       "   'CAMIE': 2,\n",
       "   'DODONNA': 2,\n",
       "   'DARTH VADER': 2,\n",
       "   'MOTTI': 2,\n",
       "   'TARKIN': 2,\n",
       "   'GREEDO': 3,\n",
       "   'JABBA': 3}),\n",
       " ('RED TEN',\n",
       "  {'RED TEN': 0,\n",
       "   'LUKE': 1,\n",
       "   'RED LEADER': 1,\n",
       "   'R2-D2': 2,\n",
       "   'CHEWBACCA': 2,\n",
       "   'C-3PO': 2,\n",
       "   'CAMIE': 2,\n",
       "   'BIGGS': 2,\n",
       "   'BERU': 2,\n",
       "   'OWEN': 2,\n",
       "   'LEIA': 2,\n",
       "   'OBI-WAN': 2,\n",
       "   'HAN': 2,\n",
       "   'DODONNA': 2,\n",
       "   'GOLD LEADER': 2,\n",
       "   'WEDGE': 2,\n",
       "   'DARTH VADER': 3,\n",
       "   'MOTTI': 3,\n",
       "   'TARKIN': 3,\n",
       "   'GREEDO': 3,\n",
       "   'JABBA': 3}),\n",
       " ('GOLD FIVE', {'GOLD FIVE': 0})]"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# List shortest path length, not the path. It's the \"hops\"\n",
    "list(nx.shortest_path_length(J))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [],
   "source": [
    "bridges = nx.bridges(J)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('HAN', 'GREEDO'), ('HAN', 'JABBA')]"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(bridges)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'LUKE': 0.4122931287455478,\n",
       " 'LEIA': 0.3571413194149662,\n",
       " 'C-3PO': 0.34982381977006505,\n",
       " 'R2-D2': 0.32425326544693045,\n",
       " 'OBI-WAN': 0.26312470230417806,\n",
       " 'BIGGS': 0.2623816053127138,\n",
       " 'HAN': 0.25970949041668046,\n",
       " 'CHEWBACCA': 0.2521397781791699,\n",
       " 'RED LEADER': 0.2249839363539681,\n",
       " 'BERU': 0.20635361821522366,\n",
       " 'OWEN': 0.1657630764440502,\n",
       " 'GOLD LEADER': 0.14559961165089746,\n",
       " 'WEDGE': 0.14559961165089746,\n",
       " 'DARTH VADER': 0.09665279510075286,\n",
       " 'DODONNA': 0.09020812319947553,\n",
       " 'CAMIE': 0.08651247691986094,\n",
       " 'RED TEN': 0.08171708784961478,\n",
       " 'MOTTI': 0.06674768286262071,\n",
       " 'TARKIN': 0.06674768286262071,\n",
       " 'GREEDO': 0.033301813464779666,\n",
       " 'JABBA': 0.033301813464779666,\n",
       " 'GOLD FIVE': 1.7378669777055092e-15}"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sort_dict(nx.eigenvector_centrality(J))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['LUKE', 'GOLD LEADER', 'WEDGE']"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(nx.neighbors(J, 'DODONNA'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('R2-D2', 9),\n",
       " ('CHEWBACCA', 6),\n",
       " ('C-3PO', 10),\n",
       " ('LUKE', 15),\n",
       " ('DARTH VADER', 4),\n",
       " ('CAMIE', 2),\n",
       " ('BIGGS', 8),\n",
       " ('LEIA', 12),\n",
       " ('BERU', 5),\n",
       " ('OWEN', 4),\n",
       " ('OBI-WAN', 7),\n",
       " ('MOTTI', 3),\n",
       " ('TARKIN', 3),\n",
       " ('HAN', 8),\n",
       " ('GREEDO', 1),\n",
       " ('JABBA', 1),\n",
       " ('DODONNA', 3),\n",
       " ('GOLD LEADER', 5),\n",
       " ('WEDGE', 5),\n",
       " ('RED LEADER', 7),\n",
       " ('RED TEN', 2),\n",
       " ('GOLD FIVE', 0)]"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(nx.degree(J))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Select a specific subgraph and draw only that\n",
    "# This could also be used more programmatically,\n",
    "# like by creating a list of nodes that share a\n",
    "# common characteristic of interest.\n",
    "nx.draw(nx.subgraph(J, ['LUKE', 'LEIA', 'HAN', 'DODONNA']), with_labels=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import Markdown, display\n",
    "def printmd(string):\n",
    "    display(Markdown(string))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['LEIA', 'OBI-WAN']\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "Oh look, a couple of mutual connections!"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# If you want to connect with Darth Vader,\n",
    "# you can do so by finding his neighbors\n",
    "# and connecting with them.\n",
    "list(nx.neighbors(J, 'DARTH VADER'))\n",
    "\n",
    "# Or you can see if you have any neighbors in common:\n",
    "print(list(nx.common_neighbors(J, 'DARTH VADER', 'LUKE')))\n",
    "printmd(\"Oh look, a couple of mutual connections!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.2597402597402597\n"
     ]
    },
    {
     "data": {
      "text/markdown": [
       "There are a lot more non-connections than there are connections here."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# The density is a measure of the overall connectedness of the graph.\n",
    "print(nx.density(J))\n",
    "printmd(\"There are a lot more non-connections than there are connections here.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['CAMIE', 'BIGGS', 'BERU', 'OWEN', 'MOTTI', 'TARKIN', 'GREEDO', 'JABBA', 'DODONNA', 'GOLD LEADER', 'WEDGE', 'RED LEADER', 'RED TEN', 'GOLD FIVE']\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[('GREEDO', 'LEIA'),\n",
       " ('GREEDO', 'LUKE'),\n",
       " ('GREEDO', 'BIGGS'),\n",
       " ('GREEDO', 'MOTTI'),\n",
       " ('GREEDO', 'OWEN'),\n",
       " ('GREEDO', 'WEDGE'),\n",
       " ('GREEDO', 'C-3PO'),\n",
       " ('GREEDO', 'RED LEADER'),\n",
       " ('GREEDO', 'GOLD FIVE'),\n",
       " ('GREEDO', 'DARTH VADER'),\n",
       " ('GREEDO', 'JABBA'),\n",
       " ('GREEDO', 'R2-D2'),\n",
       " ('GREEDO', 'DODONNA'),\n",
       " ('GREEDO', 'BERU'),\n",
       " ('GREEDO', 'CHEWBACCA'),\n",
       " ('GREEDO', 'OBI-WAN'),\n",
       " ('GREEDO', 'RED TEN'),\n",
       " ('GREEDO', 'CAMIE'),\n",
       " ('GREEDO', 'TARKIN'),\n",
       " ('GREEDO', 'GOLD LEADER'),\n",
       " ('LUKE', 'JABBA'),\n",
       " ('LUKE', 'MOTTI'),\n",
       " ('LUKE', 'TARKIN'),\n",
       " ('LUKE', 'GOLD FIVE'),\n",
       " ('LUKE', 'DARTH VADER'),\n",
       " ('MOTTI', 'BIGGS'),\n",
       " ('MOTTI', 'WEDGE'),\n",
       " ('MOTTI', 'OWEN'),\n",
       " ('MOTTI', 'C-3PO'),\n",
       " ('MOTTI', 'RED LEADER'),\n",
       " ('MOTTI', 'GOLD FIVE'),\n",
       " ('MOTTI', 'JABBA'),\n",
       " ('MOTTI', 'R2-D2'),\n",
       " ('MOTTI', 'DODONNA'),\n",
       " ('MOTTI', 'BERU'),\n",
       " ('MOTTI', 'CHEWBACCA'),\n",
       " ('MOTTI', 'OBI-WAN'),\n",
       " ('MOTTI', 'RED TEN'),\n",
       " ('MOTTI', 'HAN'),\n",
       " ('MOTTI', 'CAMIE'),\n",
       " ('MOTTI', 'GOLD LEADER'),\n",
       " ('OWEN', 'LEIA'),\n",
       " ('OWEN', 'RED LEADER'),\n",
       " ('OWEN', 'JABBA'),\n",
       " ('OWEN', 'BIGGS'),\n",
       " ('OWEN', 'WEDGE'),\n",
       " ('OWEN', 'GOLD FIVE'),\n",
       " ('OWEN', 'DODONNA'),\n",
       " ('OWEN', 'CHEWBACCA'),\n",
       " ('OWEN', 'OBI-WAN'),\n",
       " ('OWEN', 'RED TEN'),\n",
       " ('OWEN', 'HAN'),\n",
       " ('OWEN', 'TARKIN'),\n",
       " ('OWEN', 'CAMIE'),\n",
       " ('OWEN', 'GOLD LEADER'),\n",
       " ('OWEN', 'DARTH VADER'),\n",
       " ('WEDGE', 'LEIA'),\n",
       " ('WEDGE', 'JABBA'),\n",
       " ('WEDGE', 'R2-D2'),\n",
       " ('WEDGE', 'BERU'),\n",
       " ('WEDGE', 'CHEWBACCA'),\n",
       " ('WEDGE', 'OBI-WAN'),\n",
       " ('WEDGE', 'RED TEN'),\n",
       " ('WEDGE', 'HAN'),\n",
       " ('WEDGE', 'C-3PO'),\n",
       " ('WEDGE', 'TARKIN'),\n",
       " ('WEDGE', 'CAMIE'),\n",
       " ('WEDGE', 'GOLD FIVE'),\n",
       " ('WEDGE', 'DARTH VADER'),\n",
       " ('R2-D2', 'GOLD LEADER'),\n",
       " ('R2-D2', 'JABBA'),\n",
       " ('R2-D2', 'GOLD FIVE'),\n",
       " ('R2-D2', 'DODONNA'),\n",
       " ('R2-D2', 'RED TEN'),\n",
       " ('R2-D2', 'TARKIN'),\n",
       " ('R2-D2', 'CAMIE'),\n",
       " ('R2-D2', 'RED LEADER'),\n",
       " ('R2-D2', 'DARTH VADER'),\n",
       " ('BERU', 'JABBA'),\n",
       " ('BERU', 'RED LEADER'),\n",
       " ('BERU', 'BIGGS'),\n",
       " ('BERU', 'GOLD FIVE'),\n",
       " ('BERU', 'DODONNA'),\n",
       " ('BERU', 'CHEWBACCA'),\n",
       " ('BERU', 'OBI-WAN'),\n",
       " ('BERU', 'RED TEN'),\n",
       " ('BERU', 'HAN'),\n",
       " ('BERU', 'TARKIN'),\n",
       " ('BERU', 'CAMIE'),\n",
       " ('BERU', 'GOLD LEADER'),\n",
       " ('BERU', 'DARTH VADER'),\n",
       " ('HAN', 'GOLD LEADER'),\n",
       " ('HAN', 'BIGGS'),\n",
       " ('HAN', 'GOLD FIVE'),\n",
       " ('HAN', 'DODONNA'),\n",
       " ('HAN', 'RED TEN'),\n",
       " ('HAN', 'TARKIN'),\n",
       " ('HAN', 'CAMIE'),\n",
       " ('HAN', 'RED LEADER'),\n",
       " ('HAN', 'DARTH VADER'),\n",
       " ('CAMIE', 'LEIA'),\n",
       " ('CAMIE', 'RED LEADER'),\n",
       " ('CAMIE', 'JABBA'),\n",
       " ('CAMIE', 'GOLD FIVE'),\n",
       " ('CAMIE', 'DODONNA'),\n",
       " ('CAMIE', 'CHEWBACCA'),\n",
       " ('CAMIE', 'OBI-WAN'),\n",
       " ('CAMIE', 'RED TEN'),\n",
       " ('CAMIE', 'C-3PO'),\n",
       " ('CAMIE', 'TARKIN'),\n",
       " ('CAMIE', 'GOLD LEADER'),\n",
       " ('CAMIE', 'DARTH VADER'),\n",
       " ('TARKIN', 'GOLD LEADER'),\n",
       " ('TARKIN', 'JABBA'),\n",
       " ('TARKIN', 'BIGGS'),\n",
       " ('TARKIN', 'GOLD FIVE'),\n",
       " ('TARKIN', 'DODONNA'),\n",
       " ('TARKIN', 'CHEWBACCA'),\n",
       " ('TARKIN', 'OBI-WAN'),\n",
       " ('TARKIN', 'RED TEN'),\n",
       " ('TARKIN', 'C-3PO'),\n",
       " ('TARKIN', 'RED LEADER'),\n",
       " ('GOLD LEADER', 'LEIA'),\n",
       " ('GOLD LEADER', 'JABBA'),\n",
       " ('GOLD LEADER', 'CHEWBACCA'),\n",
       " ('GOLD LEADER', 'OBI-WAN'),\n",
       " ('GOLD LEADER', 'RED TEN'),\n",
       " ('GOLD LEADER', 'C-3PO'),\n",
       " ('GOLD LEADER', 'GOLD FIVE'),\n",
       " ('GOLD LEADER', 'DARTH VADER'),\n",
       " ('LEIA', 'DODONNA'),\n",
       " ('LEIA', 'JABBA'),\n",
       " ('LEIA', 'RED TEN'),\n",
       " ('LEIA', 'GOLD FIVE'),\n",
       " ('BIGGS', 'JABBA'),\n",
       " ('BIGGS', 'DODONNA'),\n",
       " ('BIGGS', 'CHEWBACCA'),\n",
       " ('BIGGS', 'OBI-WAN'),\n",
       " ('BIGGS', 'RED TEN'),\n",
       " ('BIGGS', 'GOLD FIVE'),\n",
       " ('BIGGS', 'DARTH VADER'),\n",
       " ('C-3PO', 'JABBA'),\n",
       " ('C-3PO', 'DODONNA'),\n",
       " ('C-3PO', 'RED TEN'),\n",
       " ('C-3PO', 'GOLD FIVE'),\n",
       " ('C-3PO', 'DARTH VADER'),\n",
       " ('RED LEADER', 'JABBA'),\n",
       " ('RED LEADER', 'DODONNA'),\n",
       " ('RED LEADER', 'CHEWBACCA'),\n",
       " ('RED LEADER', 'OBI-WAN'),\n",
       " ('RED LEADER', 'GOLD FIVE'),\n",
       " ('RED LEADER', 'DARTH VADER'),\n",
       " ('GOLD FIVE', 'JABBA'),\n",
       " ('GOLD FIVE', 'DODONNA'),\n",
       " ('GOLD FIVE', 'CHEWBACCA'),\n",
       " ('GOLD FIVE', 'RED TEN'),\n",
       " ('GOLD FIVE', 'OBI-WAN'),\n",
       " ('GOLD FIVE', 'DARTH VADER'),\n",
       " ('DARTH VADER', 'DODONNA'),\n",
       " ('DARTH VADER', 'JABBA'),\n",
       " ('DARTH VADER', 'RED TEN'),\n",
       " ('DARTH VADER', 'CHEWBACCA'),\n",
       " ('JABBA', 'DODONNA'),\n",
       " ('JABBA', 'CHEWBACCA'),\n",
       " ('JABBA', 'RED TEN'),\n",
       " ('JABBA', 'OBI-WAN'),\n",
       " ('DODONNA', 'CHEWBACCA'),\n",
       " ('DODONNA', 'RED TEN'),\n",
       " ('DODONNA', 'OBI-WAN'),\n",
       " ('CHEWBACCA', 'RED TEN'),\n",
       " ('OBI-WAN', 'RED TEN')]"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(list(nx.non_neighbors(J, 'OBI-WAN')))\n",
    "list(nx.non_edges(J))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('LUKE', 15),\n",
       " ('LEIA', 12),\n",
       " ('C-3PO', 10),\n",
       " ('R2-D2', 9),\n",
       " ('BIGGS', 8),\n",
       " ('HAN', 8),\n",
       " ('OBI-WAN', 7),\n",
       " ('RED LEADER', 7),\n",
       " ('CHEWBACCA', 6),\n",
       " ('BERU', 5),\n",
       " ('GOLD LEADER', 5),\n",
       " ('WEDGE', 5),\n",
       " ('DARTH VADER', 4),\n",
       " ('OWEN', 4),\n",
       " ('MOTTI', 3),\n",
       " ('TARKIN', 3),\n",
       " ('DODONNA', 3),\n",
       " ('CAMIE', 2),\n",
       " ('RED TEN', 2),\n",
       " ('GREEDO', 1),\n",
       " ('JABBA', 1),\n",
       " ('GOLD FIVE', 0)]"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Unordered list of degrees for all characters\n",
    "list(nx.degree(J))\n",
    "\n",
    "# Sorted degree list\n",
    "from operator import itemgetter\n",
    "sorted(list(nx.degree(J)), key=itemgetter(1), reverse=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'LUKE': 0.3223922902494331,\n",
       " 'LEIA': 0.2304988662131519,\n",
       " 'HAN': 0.1761904761904762,\n",
       " 'BIGGS': 0.041666666666666664,\n",
       " 'C-3PO': 0.04064625850340136,\n",
       " 'RED LEADER': 0.03333333333333334,\n",
       " 'R2-D2': 0.027551020408163276,\n",
       " 'OBI-WAN': 0.026643990929705215,\n",
       " 'DARTH VADER': 0.004761904761904762,\n",
       " 'BERU': 0.004251700680272109,\n",
       " 'GOLD LEADER': 0.0031746031746031746,\n",
       " 'WEDGE': 0.0031746031746031746,\n",
       " 'CHEWBACCA': 0.0,\n",
       " 'CAMIE': 0.0,\n",
       " 'OWEN': 0.0,\n",
       " 'MOTTI': 0.0,\n",
       " 'TARKIN': 0.0,\n",
       " 'GREEDO': 0.0,\n",
       " 'JABBA': 0.0,\n",
       " 'DODONNA': 0.0,\n",
       " 'RED TEN': 0.0,\n",
       " 'GOLD FIVE': 0.0}"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "{k: v for k, v in sorted(nx.betweenness_centrality(J).items(), key=lambda item: item[1], reverse=True)}\n",
    "# Interesting to see that Darth Vader has a very low betweenness.\n",
    "# He's an interesting character, but his centrality is very low.\n",
    "# I wonder if villain centrality has changed in the new trilogy?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [],
   "source": [
    "def sort_dict(x, reverse=True):\n",
    "    sorted_dict = {k: v for k, v in sorted(x.items(),\n",
    "                         key=lambda item: item[1],\n",
    "                         reverse=reverse)}\n",
    "    return(sorted_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'LUKE': 0.4122931287455478,\n",
       " 'LEIA': 0.3571413194149662,\n",
       " 'C-3PO': 0.34982381977006505,\n",
       " 'R2-D2': 0.32425326544693045,\n",
       " 'OBI-WAN': 0.26312470230417806,\n",
       " 'BIGGS': 0.2623816053127138,\n",
       " 'HAN': 0.25970949041668046,\n",
       " 'CHEWBACCA': 0.2521397781791699,\n",
       " 'RED LEADER': 0.2249839363539681,\n",
       " 'BERU': 0.20635361821522366,\n",
       " 'OWEN': 0.1657630764440502,\n",
       " 'GOLD LEADER': 0.14559961165089746,\n",
       " 'WEDGE': 0.14559961165089746,\n",
       " 'DARTH VADER': 0.09665279510075286,\n",
       " 'DODONNA': 0.09020812319947553,\n",
       " 'CAMIE': 0.08651247691986094,\n",
       " 'RED TEN': 0.08171708784961478,\n",
       " 'MOTTI': 0.06674768286262071,\n",
       " 'TARKIN': 0.06674768286262071,\n",
       " 'GREEDO': 0.033301813464779666,\n",
       " 'JABBA': 0.033301813464779666,\n",
       " 'GOLD FIVE': 1.7378669777055092e-15}"
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sort_dict(nx.eigenvector_centrality(J), reverse=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'LUKE': 0.1139542589507407,\n",
       " 'LEIA': 0.09244292535775875,\n",
       " 'C-3PO': 0.07465879093008768,\n",
       " 'HAN': 0.07109696334698179,\n",
       " 'R2-D2': 0.06779875531674034,\n",
       " 'BIGGS': 0.06251984187167428,\n",
       " 'RED LEADER': 0.056024436340014715,\n",
       " 'OBI-WAN': 0.05501672983550176,\n",
       " 'CHEWBACCA': 0.04708164556291258,\n",
       " 'GOLD LEADER': 0.042026332007457826,\n",
       " 'WEDGE': 0.042026332007457826,\n",
       " 'BERU': 0.03987595814790877,\n",
       " 'DARTH VADER': 0.037390529404286256,\n",
       " 'OWEN': 0.033077690690692864,\n",
       " 'MOTTI': 0.030120947458816924,\n",
       " 'TARKIN': 0.030120947458816924,\n",
       " 'DODONNA': 0.02783805740955543,\n",
       " 'RED TEN': 0.020352332240348575,\n",
       " 'CAMIE': 0.020192108518734236,\n",
       " 'GREEDO': 0.014646109280975778,\n",
       " 'JABBA': 0.014646109280975778,\n",
       " 'GOLD FIVE': 0.007092198581560285}"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sort_dict(nx.pagerank(J), reverse=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting python-louvain\n",
      "  Downloading python-louvain-0.15.tar.gz (204 kB)\n",
      "Requirement already satisfied: networkx in c:\\users\\ericd\\anaconda3\\lib\\site-packages (from python-louvain) (2.4)\n",
      "Requirement already satisfied: numpy in c:\\users\\ericd\\appdata\\roaming\\python\\python37\\site-packages (from python-louvain) (1.20.1)\n",
      "Requirement already satisfied: decorator>=4.3.0 in c:\\users\\ericd\\anaconda3\\lib\\site-packages (from networkx->python-louvain) (4.4.2)\n",
      "Building wheels for collected packages: python-louvain\n",
      "  Building wheel for python-louvain (setup.py): started\n",
      "  Building wheel for python-louvain (setup.py): finished with status 'done'\n",
      "  Created wheel for python-louvain: filename=python_louvain-0.15-py3-none-any.whl size=9405 sha256=7e461c303de08b8f86ff546684f3dd810c3f74127fb281c70c2c57d90fe4d84f\n",
      "  Stored in directory: c:\\users\\ericd\\appdata\\local\\pip\\cache\\wheels\\c7\\4c\\ef\\427db8777620f7fa12a6404f1527a39536a812f46a4d1044d3\n",
      "Successfully built python-louvain\n",
      "Installing collected packages: python-louvain\n",
      "Successfully installed python-louvain-0.15\n"
     ]
    }
   ],
   "source": [
    "# !pip install community\n",
    "!pip install python-louvain\n",
    "import community as cm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "module 'community' has no attribute 'best_partition'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-34-27d9c5d8ec0d>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mpartition\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mbest_partition\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mJ\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m: module 'community' has no attribute 'best_partition'"
     ]
    }
   ],
   "source": [
    "partition = cm.best_partition(J)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "K = nx.karate_club_graph()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "partition = community_louvain.best_partition(G)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1440x1440 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pos = pos=nx.kamada_kawai_layout(J)\n",
    "nx.draw_networkx_nodes(J, pos, partition.keys(), node_size=40,\n",
    "                       node_color=list(partition.values()))\n",
    "nx.draw_networkx_edges(J, pos, alpha=0.5, width=edge_weights)\n",
    "plt.figure(figsize=(20,20))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['R2-D2', 'CHEWBACCA', 'C-3PO', 'LUKE', 'DARTH VADER', 'CAMIE', 'BIGGS', 'LEIA', 'BERU', 'OWEN', 'OBI-WAN', 'MOTTI', 'TARKIN', 'HAN', 'GREEDO', 'JABBA', 'DODONNA', 'GOLD LEADER', 'WEDGE', 'RED LEADER', 'RED TEN', 'GOLD FIVE'])"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "partition.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'R2-D2': 0,\n",
       " 'CHEWBACCA': 0,\n",
       " 'C-3PO': 0,\n",
       " 'LUKE': 1,\n",
       " 'DARTH VADER': 2,\n",
       " 'CAMIE': 1,\n",
       " 'BIGGS': 1,\n",
       " 'LEIA': 2,\n",
       " 'BERU': 0,\n",
       " 'OWEN': 0,\n",
       " 'OBI-WAN': 0,\n",
       " 'MOTTI': 2,\n",
       " 'TARKIN': 2,\n",
       " 'HAN': 0,\n",
       " 'GREEDO': 0,\n",
       " 'JABBA': 0,\n",
       " 'DODONNA': 1,\n",
       " 'GOLD LEADER': 1,\n",
       " 'WEDGE': 1,\n",
       " 'RED LEADER': 1,\n",
       " 'RED TEN': 1,\n",
       " 'GOLD FIVE': 3}"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "partition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "EdgeDataView([('R2-D2', 'CHEWBACCA', {'value': 3}), ('R2-D2', 'C-3PO', {'value': 17}), ('R2-D2', 'BERU', {'value': 1}), ('R2-D2', 'LUKE', {'value': 14}), ('R2-D2', 'OWEN', {'value': 1}), ('R2-D2', 'OBI-WAN', {'value': 4}), ('R2-D2', 'LEIA', {'value': 5}), ('R2-D2', 'BIGGS', {'value': 1}), ('R2-D2', 'HAN', {'value': 6}), ('CHEWBACCA', 'OBI-WAN', {'value': 4}), ('CHEWBACCA', 'C-3PO', {'value': 4}), ('CHEWBACCA', 'LUKE', {'value': 14}), ('CHEWBACCA', 'HAN', {'value': 19}), ('CHEWBACCA', 'LEIA', {'value': 8}), ('C-3PO', 'BERU', {'value': 2}), ('C-3PO', 'LUKE', {'value': 18}), ('C-3PO', 'OWEN', {'value': 2}), ('C-3PO', 'LEIA', {'value': 6}), ('C-3PO', 'OBI-WAN', {'value': 6}), ('C-3PO', 'HAN', {'value': 6}), ('C-3PO', 'BIGGS', {'value': 1}), ('C-3PO', 'RED LEADER', {'value': 1}), ('LUKE', 'CAMIE', {'value': 2}), ('LUKE', 'BIGGS', {'value': 4}), ('LUKE', 'BERU', {'value': 3}), ('LUKE', 'OWEN', {'value': 3}), ('LUKE', 'LEIA', {'value': 17}), ('LUKE', 'OBI-WAN', {'value': 19}), ('LUKE', 'HAN', {'value': 26}), ('LUKE', 'DODONNA', {'value': 1}), ('LUKE', 'GOLD LEADER', {'value': 1}), ('LUKE', 'WEDGE', {'value': 2}), ('LUKE', 'RED LEADER', {'value': 3}), ('LUKE', 'RED TEN', {'value': 1}), ('DARTH VADER', 'LEIA', {'value': 1}), ('DARTH VADER', 'MOTTI', {'value': 1}), ('DARTH VADER', 'TARKIN', {'value': 7}), ('DARTH VADER', 'OBI-WAN', {'value': 1}), ('CAMIE', 'BIGGS', {'value': 2}), ('BIGGS', 'LEIA', {'value': 1}), ('BIGGS', 'RED LEADER', {'value': 3}), ('BIGGS', 'WEDGE', {'value': 2}), ('BIGGS', 'GOLD LEADER', {'value': 1}), ('LEIA', 'BERU', {'value': 1}), ('LEIA', 'OBI-WAN', {'value': 1}), ('LEIA', 'MOTTI', {'value': 1}), ('LEIA', 'TARKIN', {'value': 1}), ('LEIA', 'HAN', {'value': 13}), ('LEIA', 'RED LEADER', {'value': 1}), ('BERU', 'OWEN', {'value': 3}), ('OBI-WAN', 'HAN', {'value': 9}), ('MOTTI', 'TARKIN', {'value': 2}), ('HAN', 'GREEDO', {'value': 1}), ('HAN', 'JABBA', {'value': 1}), ('DODONNA', 'GOLD LEADER', {'value': 1}), ('DODONNA', 'WEDGE', {'value': 1}), ('GOLD LEADER', 'WEDGE', {'value': 1}), ('GOLD LEADER', 'RED LEADER', {'value': 1}), ('WEDGE', 'RED LEADER', {'value': 3}), ('RED LEADER', 'RED TEN', {'value': 1})])"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "J.edges(data=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [],
   "source": [
    "edge_weights = []\n",
    "\n",
    "for i in list(J.edges(data=True)):\n",
    "    for key in i[2]:\n",
    "        edge_weights.append(i[2][key])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [],
   "source": [
    "murph = pd.DataFrame.from_dict(J.nodes(), orient='index')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>value</th>\n",
       "      <th>colour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>R2-D2</th>\n",
       "      <td>R2-D2</td>\n",
       "      <td>40</td>\n",
       "      <td>#bde0f6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CHEWBACCA</th>\n",
       "      <td>CHEWBACCA</td>\n",
       "      <td>30</td>\n",
       "      <td>#A0522D</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C-3PO</th>\n",
       "      <td>C-3PO</td>\n",
       "      <td>43</td>\n",
       "      <td>#FFD700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LUKE</th>\n",
       "      <td>LUKE</td>\n",
       "      <td>89</td>\n",
       "      <td>#3881e5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DARTH VADER</th>\n",
       "      <td>DARTH VADER</td>\n",
       "      <td>26</td>\n",
       "      <td>#000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CAMIE</th>\n",
       "      <td>CAMIE</td>\n",
       "      <td>4</td>\n",
       "      <td>#808080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BIGGS</th>\n",
       "      <td>BIGGS</td>\n",
       "      <td>19</td>\n",
       "      <td>#808080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LEIA</th>\n",
       "      <td>LEIA</td>\n",
       "      <td>26</td>\n",
       "      <td>#DCDCDC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BERU</th>\n",
       "      <td>BERU</td>\n",
       "      <td>6</td>\n",
       "      <td>#808080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OWEN</th>\n",
       "      <td>OWEN</td>\n",
       "      <td>7</td>\n",
       "      <td>#808080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OBI-WAN</th>\n",
       "      <td>OBI-WAN</td>\n",
       "      <td>23</td>\n",
       "      <td>#48D1CC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MOTTI</th>\n",
       "      <td>MOTTI</td>\n",
       "      <td>4</td>\n",
       "      <td>#808080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TARKIN</th>\n",
       "      <td>TARKIN</td>\n",
       "      <td>13</td>\n",
       "      <td>#808080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HAN</th>\n",
       "      <td>HAN</td>\n",
       "      <td>45</td>\n",
       "      <td>#ff9400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GREEDO</th>\n",
       "      <td>GREEDO</td>\n",
       "      <td>3</td>\n",
       "      <td>#808080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JABBA</th>\n",
       "      <td>JABBA</td>\n",
       "      <td>3</td>\n",
       "      <td>#808080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DODONNA</th>\n",
       "      <td>DODONNA</td>\n",
       "      <td>4</td>\n",
       "      <td>#808080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GOLD LEADER</th>\n",
       "      <td>GOLD LEADER</td>\n",
       "      <td>15</td>\n",
       "      <td>#808080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WEDGE</th>\n",
       "      <td>WEDGE</td>\n",
       "      <td>16</td>\n",
       "      <td>#808080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RED LEADER</th>\n",
       "      <td>RED LEADER</td>\n",
       "      <td>34</td>\n",
       "      <td>#808080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RED TEN</th>\n",
       "      <td>RED TEN</td>\n",
       "      <td>9</td>\n",
       "      <td>#808080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GOLD FIVE</th>\n",
       "      <td>GOLD FIVE</td>\n",
       "      <td>9</td>\n",
       "      <td>#808080</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    name  value   colour\n",
       "R2-D2              R2-D2     40  #bde0f6\n",
       "CHEWBACCA      CHEWBACCA     30  #A0522D\n",
       "C-3PO              C-3PO     43  #FFD700\n",
       "LUKE                LUKE     89  #3881e5\n",
       "DARTH VADER  DARTH VADER     26  #000000\n",
       "CAMIE              CAMIE      4  #808080\n",
       "BIGGS              BIGGS     19  #808080\n",
       "LEIA                LEIA     26  #DCDCDC\n",
       "BERU                BERU      6  #808080\n",
       "OWEN                OWEN      7  #808080\n",
       "OBI-WAN          OBI-WAN     23  #48D1CC\n",
       "MOTTI              MOTTI      4  #808080\n",
       "TARKIN            TARKIN     13  #808080\n",
       "HAN                  HAN     45  #ff9400\n",
       "GREEDO            GREEDO      3  #808080\n",
       "JABBA              JABBA      3  #808080\n",
       "DODONNA          DODONNA      4  #808080\n",
       "GOLD LEADER  GOLD LEADER     15  #808080\n",
       "WEDGE              WEDGE     16  #808080\n",
       "RED LEADER    RED LEADER     34  #808080\n",
       "RED TEN          RED TEN      9  #808080\n",
       "GOLD FIVE      GOLD FIVE      9  #808080"
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "murph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>level_0</th>\n",
       "      <th>level_1</th>\n",
       "      <th>level_2</th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BERU</td>\n",
       "      <td>OWEN</td>\n",
       "      <td>value</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BIGGS</td>\n",
       "      <td>GOLD LEADER</td>\n",
       "      <td>value</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>BIGGS</td>\n",
       "      <td>LEIA</td>\n",
       "      <td>value</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>BIGGS</td>\n",
       "      <td>RED LEADER</td>\n",
       "      <td>value</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>BIGGS</td>\n",
       "      <td>WEDGE</td>\n",
       "      <td>value</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>C-3PO</td>\n",
       "      <td>BERU</td>\n",
       "      <td>value</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>C-3PO</td>\n",
       "      <td>BIGGS</td>\n",
       "      <td>value</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>C-3PO</td>\n",
       "      <td>HAN</td>\n",
       "      <td>value</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>C-3PO</td>\n",
       "      <td>LEIA</td>\n",
       "      <td>value</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>C-3PO</td>\n",
       "      <td>LUKE</td>\n",
       "      <td>value</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>C-3PO</td>\n",
       "      <td>OBI-WAN</td>\n",
       "      <td>value</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>C-3PO</td>\n",
       "      <td>OWEN</td>\n",
       "      <td>value</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>C-3PO</td>\n",
       "      <td>RED LEADER</td>\n",
       "      <td>value</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>CAMIE</td>\n",
       "      <td>BIGGS</td>\n",
       "      <td>value</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>CHEWBACCA</td>\n",
       "      <td>C-3PO</td>\n",
       "      <td>value</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>CHEWBACCA</td>\n",
       "      <td>HAN</td>\n",
       "      <td>value</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>CHEWBACCA</td>\n",
       "      <td>LEIA</td>\n",
       "      <td>value</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>CHEWBACCA</td>\n",
       "      <td>LUKE</td>\n",
       "      <td>value</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>CHEWBACCA</td>\n",
       "      <td>OBI-WAN</td>\n",
       "      <td>value</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>DARTH VADER</td>\n",
       "      <td>LEIA</td>\n",
       "      <td>value</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>DARTH VADER</td>\n",
       "      <td>MOTTI</td>\n",
       "      <td>value</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>DARTH VADER</td>\n",
       "      <td>OBI-WAN</td>\n",
       "      <td>value</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>DARTH VADER</td>\n",
       "      <td>TARKIN</td>\n",
       "      <td>value</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>DODONNA</td>\n",
       "      <td>GOLD LEADER</td>\n",
       "      <td>value</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>DODONNA</td>\n",
       "      <td>WEDGE</td>\n",
       "      <td>value</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>GOLD LEADER</td>\n",
       "      <td>RED LEADER</td>\n",
       "      <td>value</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>GOLD LEADER</td>\n",
       "      <td>WEDGE</td>\n",
       "      <td>value</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>HAN</td>\n",
       "      <td>GREEDO</td>\n",
       "      <td>value</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>HAN</td>\n",
       "      <td>JABBA</td>\n",
       "      <td>value</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>LEIA</td>\n",
       "      <td>BERU</td>\n",
       "      <td>value</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>LEIA</td>\n",
       "      <td>HAN</td>\n",
       "      <td>value</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>LEIA</td>\n",
       "      <td>MOTTI</td>\n",
       "      <td>value</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>LEIA</td>\n",
       "      <td>OBI-WAN</td>\n",
       "      <td>value</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>LEIA</td>\n",
       "      <td>RED LEADER</td>\n",
       "      <td>value</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>LEIA</td>\n",
       "      <td>TARKIN</td>\n",
       "      <td>value</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>LUKE</td>\n",
       "      <td>BERU</td>\n",
       "      <td>value</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>LUKE</td>\n",
       "      <td>BIGGS</td>\n",
       "      <td>value</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>LUKE</td>\n",
       "      <td>CAMIE</td>\n",
       "      <td>value</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>LUKE</td>\n",
       "      <td>DODONNA</td>\n",
       "      <td>value</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>LUKE</td>\n",
       "      <td>GOLD LEADER</td>\n",
       "      <td>value</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>LUKE</td>\n",
       "      <td>HAN</td>\n",
       "      <td>value</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>LUKE</td>\n",
       "      <td>LEIA</td>\n",
       "      <td>value</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>LUKE</td>\n",
       "      <td>OBI-WAN</td>\n",
       "      <td>value</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>LUKE</td>\n",
       "      <td>OWEN</td>\n",
       "      <td>value</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>LUKE</td>\n",
       "      <td>RED LEADER</td>\n",
       "      <td>value</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>LUKE</td>\n",
       "      <td>RED TEN</td>\n",
       "      <td>value</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>LUKE</td>\n",
       "      <td>WEDGE</td>\n",
       "      <td>value</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>MOTTI</td>\n",
       "      <td>TARKIN</td>\n",
       "      <td>value</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>OBI-WAN</td>\n",
       "      <td>HAN</td>\n",
       "      <td>value</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>R2-D2</td>\n",
       "      <td>BERU</td>\n",
       "      <td>value</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>R2-D2</td>\n",
       "      <td>BIGGS</td>\n",
       "      <td>value</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>R2-D2</td>\n",
       "      <td>C-3PO</td>\n",
       "      <td>value</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>R2-D2</td>\n",
       "      <td>CHEWBACCA</td>\n",
       "      <td>value</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>R2-D2</td>\n",
       "      <td>HAN</td>\n",
       "      <td>value</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>R2-D2</td>\n",
       "      <td>LEIA</td>\n",
       "      <td>value</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>R2-D2</td>\n",
       "      <td>LUKE</td>\n",
       "      <td>value</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>R2-D2</td>\n",
       "      <td>OBI-WAN</td>\n",
       "      <td>value</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>R2-D2</td>\n",
       "      <td>OWEN</td>\n",
       "      <td>value</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>RED LEADER</td>\n",
       "      <td>RED TEN</td>\n",
       "      <td>value</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>WEDGE</td>\n",
       "      <td>RED LEADER</td>\n",
       "      <td>value</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        level_0      level_1 level_2   0\n",
       "0          BERU         OWEN   value   3\n",
       "1         BIGGS  GOLD LEADER   value   1\n",
       "2         BIGGS         LEIA   value   1\n",
       "3         BIGGS   RED LEADER   value   3\n",
       "4         BIGGS        WEDGE   value   2\n",
       "5         C-3PO         BERU   value   2\n",
       "6         C-3PO        BIGGS   value   1\n",
       "7         C-3PO          HAN   value   6\n",
       "8         C-3PO         LEIA   value   6\n",
       "9         C-3PO         LUKE   value  18\n",
       "10        C-3PO      OBI-WAN   value   6\n",
       "11        C-3PO         OWEN   value   2\n",
       "12        C-3PO   RED LEADER   value   1\n",
       "13        CAMIE        BIGGS   value   2\n",
       "14    CHEWBACCA        C-3PO   value   4\n",
       "15    CHEWBACCA          HAN   value  19\n",
       "16    CHEWBACCA         LEIA   value   8\n",
       "17    CHEWBACCA         LUKE   value  14\n",
       "18    CHEWBACCA      OBI-WAN   value   4\n",
       "19  DARTH VADER         LEIA   value   1\n",
       "20  DARTH VADER        MOTTI   value   1\n",
       "21  DARTH VADER      OBI-WAN   value   1\n",
       "22  DARTH VADER       TARKIN   value   7\n",
       "23      DODONNA  GOLD LEADER   value   1\n",
       "24      DODONNA        WEDGE   value   1\n",
       "25  GOLD LEADER   RED LEADER   value   1\n",
       "26  GOLD LEADER        WEDGE   value   1\n",
       "27          HAN       GREEDO   value   1\n",
       "28          HAN        JABBA   value   1\n",
       "29         LEIA         BERU   value   1\n",
       "30         LEIA          HAN   value  13\n",
       "31         LEIA        MOTTI   value   1\n",
       "32         LEIA      OBI-WAN   value   1\n",
       "33         LEIA   RED LEADER   value   1\n",
       "34         LEIA       TARKIN   value   1\n",
       "35         LUKE         BERU   value   3\n",
       "36         LUKE        BIGGS   value   4\n",
       "37         LUKE        CAMIE   value   2\n",
       "38         LUKE      DODONNA   value   1\n",
       "39         LUKE  GOLD LEADER   value   1\n",
       "40         LUKE          HAN   value  26\n",
       "41         LUKE         LEIA   value  17\n",
       "42         LUKE      OBI-WAN   value  19\n",
       "43         LUKE         OWEN   value   3\n",
       "44         LUKE   RED LEADER   value   3\n",
       "45         LUKE      RED TEN   value   1\n",
       "46         LUKE        WEDGE   value   2\n",
       "47        MOTTI       TARKIN   value   2\n",
       "48      OBI-WAN          HAN   value   9\n",
       "49        R2-D2         BERU   value   1\n",
       "50        R2-D2        BIGGS   value   1\n",
       "51        R2-D2        C-3PO   value  17\n",
       "52        R2-D2    CHEWBACCA   value   3\n",
       "53        R2-D2          HAN   value   6\n",
       "54        R2-D2         LEIA   value   5\n",
       "55        R2-D2         LUKE   value  14\n",
       "56        R2-D2      OBI-WAN   value   4\n",
       "57        R2-D2         OWEN   value   1\n",
       "58   RED LEADER      RED TEN   value   1\n",
       "59        WEDGE   RED LEADER   value   3"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "murph.stack().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nx.draw(J, pos=nx.bipartite_layout(J, ['R2-D2']), with_labels=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['R2-D2', 'CHEWBACCA', 'C-3PO', 'LUKE', 'DARTH VADER']"
      ]
     },
     "execution_count": 166,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(J.nodes())[0:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}

starwars-episode-4-interactions-allCharacters.json

{
  "nodes": [
    {
      "name": "R2-D2",
      "value": 40,
      "colour": "#bde0f6"
    },
    {
      "name": "CHEWBACCA",
      "value": 30,
      "colour": "#A0522D"
    },
    {
      "name": "C-3PO",
      "value": 43,
      "colour": "#FFD700"
    },
    {
      "name": "LUKE",
      "value": 89,
      "colour": "#3881e5"
    },
    {
      "name": "DARTH VADER",
      "value": 26,
      "colour": "#000000"
    },
    {
      "name": "CAMIE",
      "value": 4,
      "colour": "#808080"
    },
    {
      "name": "BIGGS",
      "value": 19,
      "colour": "#808080"
    },
    {
      "name": "LEIA",
      "value": 26,
      "colour": "#DCDCDC"
    },
    {
      "name": "BERU",
      "value": 6,
      "colour": "#808080"
    },
    {
      "name": "OWEN",
      "value": 7,
      "colour": "#808080"
    },
    {
      "name": "OBI-WAN",
      "value": 23,
      "colour": "#48D1CC"
    },
    {
      "name": "MOTTI",
      "value": 4,
      "colour": "#808080"
    },
    {
      "name": "TARKIN",
      "value": 13,
      "colour": "#808080"
    },
    {
      "name": "HAN",
      "value": 45,
      "colour": "#ff9400"
    },
    {
      "name": "GREEDO",
      "value": 3,
      "colour": "#808080"
    },
    {
      "name": "JABBA",
      "value": 3,
      "colour": "#808080"
    },
    {
      "name": "DODONNA",
      "value": 4,
      "colour": "#808080"
    },
    {
      "name": "GOLD LEADER",
      "value": 15,
      "colour": "#808080"
    },
    {
      "name": "WEDGE",
      "value": 16,
      "colour": "#808080"
    },
    {
      "name": "RED LEADER",
      "value": 34,
      "colour": "#808080"
    },
    {
      "name": "RED TEN",
      "value": 9,
      "colour": "#808080"
    },
    {
      "name": "GOLD FIVE",
      "value": 9,
      "colour": "#808080"
    }
  ],
  "links": [
    {
      "source": 1,
      "target": 0,
      "value": 3
    },
    {
      "source": 2,
      "target": 0,
      "value": 17
    },
    {
      "source": 8,
      "target": 0,
      "value": 1
    },
    {
      "source": 3,
      "target": 0,
      "value": 14
    },
    {
      "source": 9,
      "target": 0,
      "value": 1
    },
    {
      "source": 10,
      "target": 0,
      "value": 4
    },
    {
      "source": 7,
      "target": 0,
      "value": 5
    },
    {
      "source": 6,
      "target": 0,
      "value": 1
    },
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      "source": 13,
      "target": 0,
      "value": 6
    },
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      "target": 10,
      "value": 4
    },
    {
      "source": 2,
      "target": 1,
      "value": 4
    },
    {
      "source": 1,
      "target": 3,
      "value": 14
    },
    {
      "source": 1,
      "target": 13,
      "value": 19
    },
    {
      "source": 1,
      "target": 7,
      "value": 8
    },
    {
      "source": 5,
      "target": 3,
      "value": 2
    },
    {
      "source": 6,
      "target": 5,
      "value": 2
    },
    {
      "source": 6,
      "target": 3,
      "value": 4
    },
    {
      "source": 4,
      "target": 7,
      "value": 1
    },
    {
      "source": 8,
      "target": 3,
      "value": 3
    },
    {
      "source": 8,
      "target": 9,
      "value": 3
    },
    {
      "source": 8,
      "target": 2,
      "value": 2
    },
    {
      "source": 3,
      "target": 9,
      "value": 3
    },
    {
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      "target": 3,
      "value": 18
    },
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      "value": 2
    },
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      "value": 6
    },
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      "target": 3,
      "value": 17
    },
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    },
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