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Social network analysis and small group ‘dark’ networks: an analysis of the London bombers and the problem of ‘fuzzy’ boundaries

journal contribution
posted on 2015-01-01, 00:00 authored by Morgan Burcher, Chad WhelanChad Whelan
Social network analysis (SNA) is believed to be capable of revealing significant insights into crime and terror groups, including identifying important individuals and unique approaches to disruption. However,SNA has a number of theoretical and practical limitations, particularly when applied to ‘dark’ networks. While most analysts certainly acknowledge at least some of these limitations, we need to know more about their potential impact in a crime intelligence context. This article aims to go some way towards that end by placing greater scrutiny on the problem of ‘fuzzy boundaries’ when applied to small group networks. SNA is applied to the groups responsible for the 7 July 2005 London bombings and the 21 July 2005 attempted London bombings. The article concludes that while SNA is a valuable tool for understanding crime and terror groups, the age-old problem of fuzzy boundaries can have a profound impact on the analysis of small dynamic networks.

History

Journal

Global crime

Volume

16

Issue

2

Pagination

104 - 122

Publisher

Taylor & Francis

Location

Abingdon, Eng.

ISSN

1744-0572

eISSN

1744-0580

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2015, Taylor & Francis