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Uploaded SNA files
This commit is contained in:
Carlos A. Iglesias
GitHub
parent
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commit
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154
sna/0_Intro_Network_Analysis.ipynb
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154
sna/0_Intro_Network_Analysis.ipynb
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{
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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": {
|
||||
"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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||||
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||||
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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": "slide"
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}
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},
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"source": [
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"# Introduction to Network Analysis\n",
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" \n",
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"In this session, we are going to get more insight regarding how to analyze and visualize social networks.\n"
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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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"# Objectives\n",
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"\n",
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"The main objectives of this session are:\n",
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"* Understanding why networks are important in data science\n",
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"* Experimenting with network analysis with networkx."
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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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"# Table of Contents"
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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": "subslide"
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}
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},
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"source": [
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"1. [Home](0_Intro_Network_Analysis.ipynb)\n",
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"2. [First Steps](1_First_Steps.ipynb)\n",
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"3. [Working_with_Graphs](2_Working_with_Graphs.ipynb)\n",
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"4. [Network Analysis](3_Network_Analysis.ipynb)\n",
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"5. [Social Networks](4_Social_Networks.ipynb)\n",
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"6. [Pandas integration](5_Pandas.ipynb)\n"
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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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||||
"## Licence\n",
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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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||||
"datacleaner": {
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"position": {
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"top": "50px"
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},
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"python": {
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"varRefreshCmd": "try:\n print(_datacleaner.dataframe_metadata())\nexcept:\n print([])"
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},
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"window_display": false
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},
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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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1301
sna/1_First_Steps.ipynb
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1301
sna/1_First_Steps.ipynb
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1013
sna/2_Working_with_Graphs.ipynb
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1013
sna/2_Working_with_Graphs.ipynb
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374
sna/2a_Florentine_Families_Star_Wars.ipynb
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374
sna/2a_Florentine_Families_Star_Wars.ipynb
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{
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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",
|
||||
" (\"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",
|
||||
" (\"DARTH VADER\", \"TARKIN\"),\n",
|
||||
" (\"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",
|
||||
" (\"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": [
|
||||
"Analyze ego networks of interesting nodes."
|
||||
]
|
||||
},
|
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{
|
||||
"cell_type": "code",
|
||||
"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",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Analyze communities"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "skip"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"## Licence"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"slideshow": {
|
||||
"slide_type": "skip"
|
||||
}
|
||||
},
|
||||
"source": [
|
||||
"The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/). \n",
|
||||
"\n",
|
||||
"© Carlos A. Iglesias, Universidad Politécnica de Madrid."
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"celltoolbar": "Slideshow",
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"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": "3.11.7"
|
||||
},
|
||||
"latex_envs": {
|
||||
"LaTeX_envs_menu_present": true,
|
||||
"autocomplete": true,
|
||||
"bibliofile": "biblio.bib",
|
||||
"cite_by": "apalike",
|
||||
"current_citInitial": 1,
|
||||
"eqLabelWithNumbers": true,
|
||||
"eqNumInitial": 1,
|
||||
"hotkeys": {
|
||||
"equation": "Ctrl-E",
|
||||
"itemize": "Ctrl-I"
|
||||
},
|
||||
"labels_anchors": false,
|
||||
"latex_user_defs": false,
|
||||
"report_style_numbering": false,
|
||||
"user_envs_cfg": false
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 4
|
||||
}
|
||||
2230
sna/3_Network_Analysis.ipynb
Normal file
2230
sna/3_Network_Analysis.ipynb
Normal file
File diff suppressed because one or more lines are too long
865
sna/4_Social_Networks.ipynb
Normal file
865
sna/4_Social_Networks.ipynb
Normal file
File diff suppressed because one or more lines are too long
472
sna/5_Pandas.ipynb
Normal file
472
sna/5_Pandas.ipynb
Normal file
File diff suppressed because one or more lines are too long
Loading…
Reference in New Issue
Block a user