9781107606685-1107606683-Disrupting Dark Networks (Structural Analysis in the Social Sciences, Series Number 34)

Disrupting Dark Networks (Structural Analysis in the Social Sciences, Series Number 34)

ISBN-13: 9781107606685
ISBN-10: 1107606683
Author: Sean F. Everton
Publication date: 2012
Publisher: Cambridge University Press
Format: Paperback 490 pages
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Book details

ISBN-13: 9781107606685
ISBN-10: 1107606683
Author: Sean F. Everton
Publication date: 2012
Publisher: Cambridge University Press
Format: Paperback 490 pages

Summary

Disrupting Dark Networks (Structural Analysis in the Social Sciences, Series Number 34) (ISBN-13: 9781107606685 and ISBN-10: 1107606683), written by authors Sean F. Everton, was published by Cambridge University Press in 2012. With an overall rating of 4.3 stars, it's a notable title among other Networking & Cloud Computing (Engineering, Technology, Criminology, Social Sciences) books. You can easily purchase or rent Disrupting Dark Networks (Structural Analysis in the Social Sciences, Series Number 34) (Paperback) from BooksRun, along with many other new and used Networking & Cloud Computing books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $1.05.

Description

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.

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