Structural Analysis in the Social Sciences: Series Number 34: Disrupting Dark Networks

Sean F. Everton

ISBN 10: 1107606683 / ISBN 13: 9781107606685

Published by Cambridge University Press, 2012

About this Item

2012. Paperback. This book focuses on how social network analysis can be used to craft strategies to track, destabilize and disrupt covert, illegal networks. Series: Structural Analysis in the Social Sciences. Num Pages: 490 pages, 278 b/w illus. 1 map 26 tables. BIC Classification: JFF; JHB. Category: (U) Tertiary Education (US: College). Dimension: 228 x 155 x 25. Weight in Grams: 626. Series: Structural Analysis in the Social Sciences. 482 pages, 278 b/w illus. 1 map 26 tables. Focuses on how social network analysis can be used to craft strategies to track, destabilize and disrupt covert, illegal networks. Cateogry: (U) Tertiary Education (US: College). BIC Classification: JFF; JHB. Dimension: 228 x 155 x 25. Weight: 626. . . . . .

Seller Inventory # V9781107606685

Bibliographic Details

• Title: Structural Analysis in the Social Sciences: Series Number 34: Disrupting Dark Networks
• Publisher: Cambridge University Press
• Publication Date: 2012
• Language: English
• ISBN 10: 1107606683
• ISBN 13: 9781107606685
• Binding: Soft cover
• Condition: New

About this title

Synopsis

This is the first book in which counterinsurgency theory and social network analysis are coupled. Disrupting Dark Networks focuses on how social network analysis can be used to craft strategies to track, destabilize, and disrupt covert and illegal networks. The book begins with an overview of the key terms and assumptions of social network analysis and various counterinsurgency strategies. The next several chapters introduce readers to algorithms and metrics commonly used by social network analysts. They provide worked examples from four different social network analysis software packages (UCINET, NetDraw, Pajek, and ORA) using standard network data sets as well as data from an actual terrorist network that serves as a running example throughout the book. The book concludes by considering the ethics of and various ways that social network analysis can inform counterinsurgency strategizing. By contextualizing these methods in a larger counterinsurgency framework, this book offers scholars and analysts an array of approaches for disrupting dark networks.

About the Author

Sean F. Everton is Assistant Professor in the Department of Defense Analysis, as well as the Co-Director of the CORE Lab at the Naval Postgraduate School.