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Disrupting Dark Networks
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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Disrupting Dark Networks
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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Disrupting Dark Networks

Disrupting Dark Networks

by Sean F. Everton
Alternative view 1 of Disrupting Dark Networks
Alternative view 2 of Disrupting Dark Networks
Disrupting Dark Networks

Disrupting Dark Networks

by Sean F. Everton

Overview

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.

Product Details

ISBN-13: 9781107606685
Publisher: Cambridge University Press
Publication date: 11/12/2012
Series: Structural Analysis in the Social Sciences , #34
Edition description: New Edition
Pages: 490
Sales rank: 912,397
Product dimensions: 6.00(w) x 8.90(h) x 1.00(d)

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.

Table of Contents

Part I. Introduction: 1. Social network analysis: an introduction; 2. Strategic options for disrupting dark networks; Part II. Social Network Analysis: Techniques: 3. Getting started with UCINET, NetDraw, Pajek, and ORA; 4. Gathering, recording, and manipulating social networks; Part III. Social Network Analysis: Metrics: 5. Network topography; 6. Cohesion and clustering; 7. Centrality, power, and prestige; 8. Brokers, bridges, and structural holes; 9. Positions, roles, and blockmodels; Part IV. Social Network Analysis: Advances: 10. Dynamic analyses of dark networks; 11. Statistical models for dark networks; Part V. Conclusion: 12. The promise and limits of social network analysis.
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Social Sciences
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