Rowman & Littlefield Publishers
Pages: 388
•
Trim: 6 x 9
978-1-4422-4943-1 • Hardback • March 2016 • $110.00 • (£75.00)
978-1-4422-4944-8 • Paperback • March 2016 • $61.00 • (£42.95)
978-1-4422-4945-5 • eBook • March 2016 • $58.00 • (£39.95)
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.
Part I: Introduction to Social Network Analysis
Part II: Exploratory Social Network Analysis
Part III: Confirmatory Social Network Analysis
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
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.
— Elisa Jayne Bienenstock, college research professor, College of Public Service and Community Solutions, Arizona State University
• Introductory text that explains how social network analysis can be used to craft strategies to track, destabilize, and disrupt dark (i.e. covert or illegal) networks.
• How-to guide written in an accessible, non-technical manner to serve those new to the technique and those who wish to know how to apply it to the study of dark networks.
• Pedagogical features include examples and applications, practical exercises, methodology, case studies, and data sets for practice.
• Each chapter includes a summary, review questions, and further reading suggestions.