Disrupting dark networks / / Sean F. Everton [[electronic resource]]

• Record Nr.: UNINA9910453012003321
• Autore: Everton Sean F.
• Pubbl/distr/stampa: Cambridge : , : Cambridge University Press, , 2012
• 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
• Descrizione fisica: 1 online resource (xxxvi, 451 pages) : digital, PDF file(s)
• Collana: Structural analysis in the social sciences ; ; 34
• Disciplina: 302.30285
• Soggetti: Social networks - Research; Social sciences - Network analysis
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Title from publisher's bibliographic system (viewed on 05 Oct 2015).
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Introduction -- Social network analysis: techniques -- Social network analysis: metrics -- Social network analysis: advances -- Conclusion.
• Sommario/riassunto: 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.