The 40 Members of the Toronto 18

Group Boundaries and the Analysis of Illicit Networks

Dados Bibliográficos

ID2153198
AutoresM Ouellet (0000-0003-4442-3374, Georgia State University, autor correspondente), Martin Bouchard (0000-0002-2911-5544, Simon Fraser University)
Ano2018
Volume39
Fascículo11
Páginas1467-1482
Data de publicação2018-11-02
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoDeviant Behavior (JOURNAL)
Identificadores do periódicoISSN: 0163-9625 • E-ISSN: 1521-0456
EditoraInforma UK Limited (PUBLISHER • GB)
DOI10.1080/01639625.2018.1481678
OpenAlexW2805700931
IdiomaEN
Citações recebidas7
Referências citadas43

Increases in studies on the network dynamics of crime groups and co-offending has led many scholars to reflect on potential measurement biases arising from a reliance on official data sources. A problem of official data is that it forces boundaries on criminal groups that are much more fluid and dynamic than they seem. Drawing from interviews with an individual embedded in a terrorist organization and court documents records, we apply longitudinal network methods to examine the extent to which official data influences assessments of a criminal group. Findings show that only a minority of participants interacting with the group were charged for a crime. Yet the majority had an impact on the evolution of the group. Ignoring non-criminal affiliates masks the full scope of covert groups and the variation that can assist in understanding how groups emerge and evolve

Computer security · Covert · Criminology · Group (periodic table · Organised crime · Political science · Scope (computer science · Sociology · Terrorism · Variation (astronomy · Computer Science · Crime Patterns and Interventions · Crime, Illicit Activities, and Governance · Law · Psychology · Wildlife Conservation and Criminology Analyses