The definitive guide to doing network analysis using UCINET, written by world-class academics and a deft, sophisticated introduction to social network research design, data, and analysis.
The definitive guide to doing network analysis using UCINET, written by world-class academics and a deft, sophisticated introduction to social network research design, data, and analysis.
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.
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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
