3 options
Disrupting dark networks / Sean F. Everton.
- Format:
- Book
- Author/Creator:
- Everton, Sean F., author.
- Series:
- Structural analysis in the social sciences ; 34.
- Structural analysis in the social sciences ; 34
- Language:
- English
- Subjects (All):
- Social networks--Research.
- Social networks.
- Social sciences--Network analysis.
- Social sciences.
- Physical Description:
- 1 online resource (xxxvi, 451 pages) : digital, PDF file(s).
- Edition:
- 1st ed.
- Place of Publication:
- Cambridge : Cambridge University Press, 2012.
- Summary:
- 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.
- Contents:
- Introduction
- Social network analysis: techniques
- Social network analysis: metrics
- Social network analysis: advances
- Conclusion.
- Notes:
- Title from publisher's bibliographic system (viewed on 05 Oct 2015).
- Includes bibliographical references and index.
- ISBN:
- 1-316-08986-X
- 1-139-79408-6
- 1-139-77669-X
- 1-139-78272-X
- 1-107-25452-3
- 1-139-13687-9
- 1-139-77973-7
- 1-283-81802-7
- 1-139-77821-8
- OCLC:
- 833769794
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.