Analyzing and Visualizing Social Networks

A tutorial on analyzing and visualizing networks with Python and the NetworkX package.

Day 1: Importing and analyzing graphs.
Day 2: Sampling and visualizing network datasets.

You can launch the files interactively here.

For more helpful resources, you can consult these:

Tutorials

Network Visualization with R by Katya Ognyanova
Social Networks in R by the Shizuka lab
Exploring and Analyzing Network Data with Python from The Programming Historian

Resource compilations

Awesome network analysis Github repository

MOOCs

Social Network Analysis by Lada Adamic at University of Michigan
Social and Economic Networks: Models and Analysis by Matthew Jackson at Stanford
Applied Social Network Analysis in Python by Daniel Romero at University of Michigan
Data Camp with tutorials for R and Python

Programs and packages

There are many programs and packages for analysis and visualization, including:

Python
- NetworkX
- pyvis (interactive)
- iGraph
- graph-tool
R
- iGraph
- ggraph
Desktop
- gephi
- Tableau