Description
Book SynopsisDark networks are the illegal and covert networks (e.g, insurgents, jihadi groups, or drug cartels) that security and intelligence analysts must track and identify to be able to disrupt and dismantle them. This text explains how this can be done by using the Social Network Analysis (SNA) method. Written in an accessible manner, it provides an introduction to SNA, presenting tools and concepts, and showing how SNA can inform the crafting of a wide array of strategies for the tracking and disrupting of dark networks.
Trade ReviewFinally! Accessible yet comprehensive, Understanding Dark Networks is a much needed and long overdue guide to analyzing covert, and all other, social networks. This is a must-read for anyone even considering using social network analysis effectively. -- Elisa Jayne Bienenstock, college research professor, College of Public Service and Community Solutions, Arizona State University
Table of ContentsList of Figures List of Tables Introduction Part I: Introduction to Social Network Analysis Chapter 1: Social Networks Chapter 2: Strategic Options for Disrupting Dark Networks Chapter 3: Collecting, Coding, and Manipulating Social Network Data Part II: Exploratory Social Network Analysis Chapter 4: Topographical Features of Dark Networks Chapter 5: Detecting Subgroups In Networks Chapter 6: Identifying Central Actors In Networks Chapter 7: Brokerage within Networks Chapter 8: Positional Approaches to Analyzing Networks Part III: Confirmatory Social Network Analysis Chapter 9: Digging Deeper and Testing Hypotheses Chapter 10: More Hypothesis Testing: Using Exponential Random Graph Models (Ergms) To Explain Tie Formation Chapter 11: Longitudinal Analyses of Dark Networks Part IV: Conclusion Chapter 12: Lessons Learned Appendix 1: Data Description And Codebook Appendix 2: Glossary of Terms Appendix 3: Analytic Software References Index About the Authors
