Network Analysis

Packages in R 

• ggraph plots network graphs using the conventions and power of ggplot2
• igraph is a collection of network analysis tools with the emphasis on efficiency, portability, and ease of use. igraph is open source and free, and can be used in R, Python, and C++
• network (pdf) manages relational data in R. Networks can be created with any combination of undirected/directed, valued/unvalued, dyadic/hyper, and single/multiple edges
• networkD3 creates D3 JavaScript network, tree, dendrogram, and Sankey graphs
• tidygraph conceptualizes a network graph as two tidy data frames consisting of node and edge data
• Other resources:
  • Alex Brey, Temporal Network Analysis with R
  • Ryan Deschamps, Correspondence Analysis for Historical Research with R
  • Katherine Ognyanova, Network Analysis and Visualization with R and igraph
  • Jesse Sadler, Introduction to Network Analysis with R: Creating Static and Interactive Network Graphs

Packages in Python

• igraph is a package to manipulate and analyze graphs and networks. It can be used to create, manipulate, and analyze networks; convert graphs to/from networkx, graph-tool, and many file formats; and plot networks. Read the documentation and a tutorial. 
• networkx is a package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Read the documentation and a tutorial. Other resources:
  • Coursera, Applied Social Network Analysis in Python 
  • DataCamp, Graph Optimization with Networkx in Python
  • John R. Ladd, Jessica Otis, Christopher N. Warren, and Scott Weingart, Exploring and Analyzing Network Data with Python