Daniel Cunningham, Sean Everton, Philip Murphy

Understanding Dark Networks (eBook, ePUB)

A Strategic Framework for the Use of Social Network Analysis

• Format: ePub

Produktbeschreibung

Dark 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.

Produktdetails

• Verlag: Bloomsbury eBooks US
• Seitenzahl: 330
• Erscheinungstermin: 7. März 2016
• Englisch
• ISBN-13: 9781442249455
• Artikelnr.: 45483432

Autorenporträt

By Daniel Cunningham; Sean Everton and Philip Murphy

Inhaltsangabe

List 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