Analyzing Social Networks Using R

by Stephen P Borgatti, Martin G. Everett, Jeffrey C. Johnson

This approachable book introduces network research in R, walking you through every step of doing social network analysis. Drawing together research design, data collection and data analysis, it explains the core concepts of network analysis in a non-technical way.

The book balances an easy to follow explanation of the theoretical and statistical foundations underpinning network analysis with practical guidance on key steps like data management, preparation and visualisation. With clarity and expert insight,

• Discusses measures and techniques for analyzing social network data, including digital media 
• Explains a range of statistical models including QAP and ERGM, giving you the tools to approach different types of networks
• Offers digital resources like practice datasets and worked examples that help you get to grips with R software

384 pages, Hardcover

Published July 20, 2022

Reviews

[Ozan · Rating 5 out of 5]

This is a classic reference book to get a first course in analysing networks with R. It covers a large landscape of SNA with insight. The slight doubt is that the authors use their own tailor-made R package for the book rather than more standard SNA packages such as igraph or network. It is thus unclear how much the practitioner should invest in this specific package, given maintenance etc. issues in the long run. But overall, a must read book to learn about social network analysis.