Understanding Dark Networks

Daniel Cunningham is associate faculty for instruction in the Defense Analysis Department at the Naval Postgraduate School (NPS) in Monterey, CA. He is also a research associate in the Defense Analysis Department’s Common Operational Research Environment (CORE) Lab. Sean Everton is an associate professor in the Department of Defense Analysis and the co-director of the CORE Lab at the Naval Postgraduate School (NPS) in Monterey, CA. Philip Murphy is an assistant professor and the director of the Mixed-methods Evaluation and Training (META) Lab at the Middlebury Institute of International Studies in the Graduate School of International Policy Studies and a research fellow at the Naval Postgraduate School’s CORE Lab.

• List of FiguresList of TablesIntroductionPart I: Introduction to Social Network AnalysisChapter 1: Social NetworksChapter 2: Strategic Options for Disrupting Dark NetworksChapter 3: Collecting, Coding, and Manipulating Social Network DataPart II: Exploratory Social Network AnalysisChapter 4: Topographical Features of Dark NetworksChapter 5: Detecting Subgroups In NetworksChapter 6: Identifying Central Actors In NetworksChapter 7: Brokerage within NetworksChapter 8: Positional Approaches to Analyzing NetworksPart III: Confirmatory Social Network AnalysisChapter 9: Digging Deeper and Testing HypothesesChapter 10: More Hypothesis Testing: Using Exponential Random Graph Models (Ergms) To Explain Tie FormationChapter 11: Longitudinal Analyses of Dark NetworksPart IV: ConclusionChapter 12: Lessons LearnedAppendix 1: Data Description And CodebookAppendix 2: Glossary of TermsAppendix 3: Analytic SoftwareReferencesIndexAbout the Authors

Finally! 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.