{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The data in this example represents Facebook social circle obtained from [SNAP](http://snap.stanford.edu/data/egonets-Facebook.html).\n",
    "\n",
    "Most examples work across multiple plotting backends, this example is also available for:\n",
    "\n",
    "* [Bokeh network_graph](../bokeh/network_graph.ipynb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import holoviews as hv\n",
    "hv.extension('matplotlib')\n",
    "hv.output(fig='svg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Declaring data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "edges_df = pd.read_csv('../../../assets/fb_edges.csv')\n",
    "nodes_df = pd.read_csv('../../../assets/fb_nodes.csv')\n",
    "\n",
    "fb_nodes = hv.Nodes(nodes_df).sort()\n",
    "fb_graph = hv.Graph((edges_df, fb_nodes), label='Facebook Circles')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fb_graph.opts(\n",
    "    cmap='tab20', node_color='circle', fig_size=350,\n",
    "    show_frame=False, xaxis=None, yaxis=None, node_size=10)"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python",
   "pygments_lexer": "ipython3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}