Analyzing Social Networks Using R
by Stephen P Borgatti, Martin G. Everett, Jeffrey C. Johnson, Filip Agneessens
This book offers a practical introduction to social network analysis using R, covering methods for data handling, visualization, and modeling. It provides tools for exploring network structures, centrality, and community detection, making it ideal for researchers in social sciences and related fields seeking to apply computational techniques to relational data.
About This Book
Analyzing Social Networks Using R introduces methods for studying social networks through the versatile R environment. Authored by experts in network analysis, it covers essential techniques for data collection, visualization, and interpretation.
The book emphasizes practical applications, enabling readers to implement network models and algorithms directly in R. It addresses key concepts such as centrality measures, clustering, and network dynamics.
Designed for researchers and students, this resource bridges theoretical foundations with hands-on coding examples. It supports interdisciplinary work in sociology, anthropology, and beyond by leveraging R's open-source capabilities.
With contributions from Stephen P. Borgatti, Martin G. Everett, Jeffrey C. Johnson, and Filip Agneessens, the text offers reliable guidance for conducting robust social network research.
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