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.

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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