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Analyzing Social Networks Using R
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Analyzing Social Networks Using R

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April 2022 | 384 pages | SAGE Publications Ltd

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, it:

• 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

 
Chapter 1: Introduction
 
Chapter 2: Mathematical Foundations
 
Chapter 3: Research Design
 
Chapter 4: Data Collection
 
Chapter 5: Data Management
 
Chapter 6: Multivariate Techniques Used in Network Analysis
 
Chapter 7: Visualization
 
Chapter 8: Local Node-Level Measures
 
Chapter 9: Centrality
 
Chapter 10: Group-level measures
 
Chapter 11: Subgroups and community detection
 
Chapter 12: Equivalence
 
Chapter 13: Analyzing Two-mode Data
 
Chapter 14: Introduction to Inferential Statistics for Complete Networks
 
Chapter 15: ERGMs and SAOMs

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Very comprehensive text, useful for students

Professor Jesus RODRIGUEZ-POMEDA
Management, Autonomous University of Madrid
May 23, 2024

I never received an inspection copy, sorry

Professor Gerhard Wuehrer
Retailing, sales, and Marketing, Johannes Kepler University of Linz
July 24, 2023

For instructors

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ISBN: 9781529722475
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