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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.

Martin Everett is professor of social network analysis and co-director of the Mitchell Centre at the University of Manchester. After studying mathematics as an undergraduate and at masters level, he undertook a doctorate in social network analysis. He has over over 30 years of experience of social networks and has contributed to over 100 publications. He is a co-developer of the network analysis software UCINET and is co-editor of the international journal Social Networks. He is a past president of INSNA (The International Network for Social Network Analysis) and a Simmel award holder (the highest award given by INSNA for contributions to research). He has regularly given keynote speeches at international conferences and has consulted to both government agencies and private companies on the use and application of social network analysis.