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375 lines
8.6 KiB
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375 lines
8.6 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "skip"
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}
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},
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"source": [
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"![](images/EscUpmPolit_p.gif \"UPM\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "skip"
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}
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},
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"source": [
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"# Course Notes for Learning Intelligent Systems"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "skip"
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}
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},
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"source": [
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"Department of Telematic Engineering Systems, Universidad Politécnica de Madrid, © Carlos A. Iglesias"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "skip"
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}
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},
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"source": [
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"## [Introduction to Network Analysis](0_Intro_Network_Analysis.ipynb)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Exercise: Florentine families"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import networkx as nx\n",
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"import warnings\n",
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"warnings.simplefilter(action='ignore', category=FutureWarning)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"G_florentine = nx.florentine_families_graph()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"source": [
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"# Exercise: Star Wars"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"import networkx as nx\n",
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"\n",
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"# Taken from https://gist.github.com/codingthat/be03565bd97e789a3835b50235ad562f\n",
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"# The original dataset is from:\n",
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"# Gabasova, E. (2016). Star Wars social network. DOI: https://doi.org/10.5281/zenodo.1411479\n",
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"# \n",
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"# Simplified by Federico Albanese.\n",
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"\n",
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"characters = [\"R2-D2\",\n",
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" \"CHEWBACCA\",\n",
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" \"C-3PO\",\n",
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" \"LUKE\",\n",
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" \"DARTH VADER\",\n",
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" \"CAMIE\",\n",
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" \"BIGGS\",\n",
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" \"LEIA\",\n",
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" \"BERU\",\n",
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" \"OWEN\",\n",
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" \"OBI-WAN\",\n",
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" \"MOTTI\",\n",
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" \"TARKIN\",\n",
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" \"HAN\",\n",
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" \"DODONNA\",\n",
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" \"GOLD LEADER\",\n",
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" \"WEDGE\",\n",
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" \"RED LEADER\",\n",
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" \"RED TEN\"]\n",
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"\n",
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"\n",
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"edges = [(\"CHEWBACCA\", \"R2-D2\"),\n",
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" (\"C-3PO\",\"R2-D2\"),\n",
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" (\"BERU\", \"R2-D2\"),\n",
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" (\"LUKE\", \"R2-D2\"),\n",
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" (\"OWEN\", \"R2-D2\"),\n",
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" (\"OBI-WAN\", \"R2-D2\"),\n",
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" (\"LEIA\", \"R2-D2\"),\n",
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" (\"BIGGS\", \"R2-D2\"),\n",
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" (\"HAN\", \"R2-D2\"),\n",
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" (\"CHEWBACCA\", \"OBI-WAN\"),\n",
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" (\"C-3PO\", \"CHEWBACCA\"),\n",
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" (\"CHEWBACCA\", \"LUKE\"),\n",
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" (\"CHEWBACCA\", \"HAN\"),\n",
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" (\"CHEWBACCA\", \"LEIA\"),\n",
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" (\"CAMIE\", \"LUKE\"),\n",
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" (\"BIGGS\", \"CAMIE\"),\n",
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" (\"BIGGS\", \"LUKE\"),\n",
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" (\"DARTH VADER\", \"LEIA\"),\n",
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" (\"BERU\", \"LUKE\"),\n",
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" (\"BERU\", \"OWEN\"),\n",
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" (\"BERU\", \"C-3PO\"),\n",
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" (\"LUKE\", \"OWEN\"),\n",
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" (\"C-3PO\", \"LUKE\"),\n",
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" (\"C-3PO\", \"OWEN\"),\n",
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" (\"C-3PO\", \"LEIA\"),\n",
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" (\"LEIA\", \"LUKE\"),\n",
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" (\"BERU\", \"LEIA\"),\n",
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" (\"LUKE\", \"OBI-WAN\"),\n",
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" (\"C-3PO\", \"OBI-WAN\"),\n",
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" (\"LEIA\", \"OBI-WAN\"),\n",
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" (\"MOTTI\", \"TARKIN\"),\n",
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" (\"DARTH VADER\", \"MOTTI\"),\n",
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" (\"DARTH VADER\", \"TARKIN\"),\n",
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" (\"HAN\", \"OBI-WAN\"),\n",
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" (\"HAN\", \"LUKE\"),\n",
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" (\"C-3PO\", \"HAN\"),\n",
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" (\"LEIA\", \"MOTT\"),\n",
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" (\"LEIA\", \"TARKIN\"),\n",
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" (\"HAN\", \"LEIA\"),\n",
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" (\"DARTH VADER\", \"OBI-WAN\"),\n",
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" (\"DODONNA\", \"GOLD LEADER\"),\n",
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" (\"DODONNA\", \"WEDGE\"),\n",
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" (\"DODONNA\", \"LUKE\"),\n",
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" (\"GOLD LEADER\", \"WEDGE\"),\n",
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" (\"GOLD LEADER\", \"LUKE\"),\n",
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" (\"LUKE\", \"WEDGE\"),\n",
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" (\"BIGGS\", \"LEIA\"),\n",
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" (\"LEIA\", \"RED LEADER\"),\n",
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" (\"LUKE\", \"RED LEADER\"),\n",
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" (\"BIGGS\", \"RED LEADER\"),\n",
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" (\"BIGGS\", \"C-3PO\"),\n",
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" (\"C-3PO\", \"RED LEADER\"),\n",
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" (\"RED LEADER\", \"WEDGE\"),\n",
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" (\"GOLD LEADER\", \"RED LEADER\"),\n",
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" (\"BIGGS\", \"WEDGE\"),\n",
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" (\"RED LEADER\", \"RED TEN\"),\n",
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" (\"BIGGS\", \"GOLD LEADER\"),\n",
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" (\"LUKE\", \"RED TEN\")]\n",
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"\n",
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"G_starWars = nx.Graph()\n",
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"\n",
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"\n",
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"G_starWars.add_nodes_from(characters)\n",
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"G_starWars.add_edges_from(edges)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Exercise\n",
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"In this exercise we are going to practice some of the concepts of the session.\n",
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"\n",
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"Answer the following questions using the object *G_starWars* and *G_florentine*."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Number of nodes"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Number of edges"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Get the list of nodes"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Get the list of edges"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Draw the graph\n",
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"\n",
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"Hint. Use different layouts (circular, spring, ...)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Think of interesting micro, meso and macro metrics"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Analyze ego networks of interesting nodes."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Analyze communities"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "skip"
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}
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},
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"source": [
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"## Licence"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"slideshow": {
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"slide_type": "skip"
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}
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},
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"source": [
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"The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/). \n",
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"\n",
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"© Carlos A. Iglesias, Universidad Politécnica de Madrid."
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]
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}
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],
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"metadata": {
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"celltoolbar": "Slideshow",
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.7"
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},
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"latex_envs": {
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"LaTeX_envs_menu_present": true,
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"autocomplete": true,
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"bibliofile": "biblio.bib",
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"cite_by": "apalike",
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"current_citInitial": 1,
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"eqLabelWithNumbers": true,
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"eqNumInitial": 1,
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"hotkeys": {
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"equation": "Ctrl-E",
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"itemize": "Ctrl-I"
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},
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"labels_anchors": false,
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"latex_user_defs": false,
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"report_style_numbering": false,
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"user_envs_cfg": false
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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