Table of Contents

Preface
Introduction
Mathematical Foundations
Research Design
Data Collection
Data Management
Multivariate Techniques Used in Network Analysis
Visualization
Testing Hypotheses
Characterizing Whole Networks
Centrality
Subgroups
Equivalence
Analyzing Two-Mode Data
Large Networks
Ego Networks

About the Author

Stephen P. Borgatti, PhD is the Gatton Endowed Chair of Management at the Gatton College of Business and Economics at the University of Kentucky. He has published extensively in management journals, as well as cross-disciplinary journals such as Science and Social Networks. He has published over 100 peer-reviewed articles on network analysis, garnering more than 80,000 Google Scholar citations. With Martin Everett, Steve is co-author of UCINET, a well-known software package for social network analysis, as well as founder of the annual LINKS Center workshop on social network analysis. He is also a two-term past president of INSNA (the professional association for network researchers) and winner of their Simmel Award for lifetime achievement. Martin Everett is Professor of Social Network Analysis and co-director of the Mitchell Centre for SNA at the University of Manchester. He has published extensively on social network analysis and has over 100 peer-reviewed articles and consulted with government agencies as well as public and private companies. With Stephen Borgatti, Martin is co-author of UCINET, a well-known software package for social network analysis and is co-editor of the journal Social Networks. He is also a past President of INSNA (the professional association for network researchers) and winner of their Simmel Award for lifetime achievement. He was elected as an academician to the UK Academy of Social Sciences in 2004.  Jeffrey C. Johnson, PhD is University Term Professor of Anthropology at the University of Florida. He is a former program manager with the Army Research Office (IPA), where he started the basic science research program in the social sciences. He has conducted extensive long-term research, supported by the National Science Foundation, comparing group dynamics and the evolution of social networks of over-wintering crews at the American South Pole Station with those at the Polish, Russian, Chinese, and Indian Antarctic Stations. In related research, he has studied aspects of team cognition and social networks on success in simulated space missions. He is a winner of INSNA’s Simmel Award for lifetime achievement. He has published extensively in anthropological, sociological, biological, aerospace, and marine science journals and was the founding editor of the Journal of Quantitative Anthropology, co-editor of the journal Human Organization, and is the author of Selecting Ethnographic Informants (Sage, 1990).

Reviews

  ′Literature concerning social network analysis has been enriched by one more book dealing with this phenomenon. [...] The examples are drawn from a variety of fields – anthropology, sociology, management, and health care. The book could be useful for a broad range of specialists in different scientific spheres. The book is a general introduction to doing network analysis based on network theory and focused on methodology of research design and data collection′
*Stanislava Yordanova Stoyanova*

  ′The authors have divided each chapter into short sections that make it easy to read since they orient the reader to the needed content. Almost all sections are supported with graphs, figures and tables that explain the different research steps a social network analyst should go through starting from the design to the interpretation of results. For the authors to satisfy a larger audience, they have employed a simple language that students, researchers, teachers and practitioners can understand. All in all, the book remains an excellent reference and guide to help a worker in SNA succeed in his analysis especially with the wide number of illustrations, figures and examples present all though the book′
*Nadia Idri*

The best introduction to the analysis of social networks. All the basic techniques are there, easily digestible and ready to apply to tangible research problems. 
*Michael Schwartz, Professor*

We′ve been waiting for this book for a long time. Masters of their craft, Borgatti, Everett and Johnson guide us through the excitement and challenges of social network analysis. It will be your companion on all of your analytic journeys.
*Barry Wellman, S.D. Clark Professor of Sociology*

This book is a well-written, comprehensive introduction to the must-know techniques of social network analysis. Drawing from their discipline overarching, rich experience with social network data from various backgrounds, the authors make SNA’s concepts and algorithms accessible, turning them into powerful research tools for their readers.
*Christian Steglich*