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Social network analysis as a tool for criminal intelligence: understanding its potential from the perspectives of intelligence analysts

Version 2 2024-06-04, 02:04
Version 1 2017-08-31, 11:10
journal contribution
posted on 2024-06-04, 02:04 authored by M Burcher, Chad WhelanChad Whelan
Over the past two decades an increasing number of researchers have applied social network analysis (SNA) to various ‘dark’ networks. This research suggests that SNA is capable of revealing significant insights into the dynamics of dark networks, particularly the identification of critical nodes, which can then be targeted by law enforcement and security agencies for disruption. However, there has so far been very little research into whether and how law enforcement agencies can actually leverage SNA in an operational environment and in particular the challenges agencies face when attempting to apply various network analysis techniques to criminal networks. This paper goes some way towards addressing these issues by drawing on qualitative interviews with criminal intelligence analysts from two Australian state law enforcement agencies. The primary contribution of this paper is to call attention to the organisational characteristics of law enforcement agencies which, we argue, can influence the capacity of criminal intelligence analysts to successfully apply SNA as much as the often citied ‘characteristics of criminal networks’.

History

Journal

Trends in organized crime

Volume

21

Pagination

278-294

Location

New York, N.Y.

ISSN

1084-4791

eISSN

1936-4830

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2017, Springer Science+Business Media

Issue

3

Publisher

Springer New York