Analyzing Social Networks
- Stephen P Borgatti - University of Kentucky, USA
- Martin G Everett - Manchester University, UK
- Jeffrey C Johnson - University of Florida, USA
Quantitative Methods | Quantitative Methods | Research Methods | Research Methods in Education | Research Methods in Sociology | Research Methods in Sociology | Social Network Analysis | Social Network Analysis | Social Psychology | Social Statistics | Sociology of Everyday Life | Statistics in Sociology | Technology & Society |
Designed to walk beginners through core aspects of collecting, visualizing, analyzing, and interpreting social network data, this book will get you up-to-speed on the theory and skills you need to conduct social network analysis. Using simple language and equations, the authors provide expert, clear insight into every step of the research process—including basic maths principles—without making assumptions about what you know. With a particular focus on NetDraw and UCINET, the book introduces relevant software tools step-by-step in an easy to follow way.
In addition to the fundamentals of network analysis and the research process, this Second Edition focuses on:
- Digital data and social networks like Twitter
- Statistical models to use in SNA, like QAP and ERGM
- The structure and centrality of networks
- Methods for cohesive subgroups/community detection
Supported by new chapter exercises, a glossary, and a fully updated companion website, this text is the perfect student-friendly introduction to social network analysis.
Probably the best method-focused book on social network analysis I have ever read. Clear structure, precise language, great examples. Can not recommend this enough for researchers and students who are interested in learning about social network analysis.
I would not recommend it for bachelor level students as it seems too in-depth to be pure introductory material.
It gives you just the right amount of info
Good book to have around if you are interested in social network analysis
a very useful read/text