Evolution of a drug trafficking network

Mapping changes in network structure and function across time

Datos Bibliográficos

ID12887366
AutoresDavid Bright (0000-0002-4425-9589, UNSW Sydney, autor de correspondencia), Jordan J Delaney (UNSW Sydney)
Año2013
Volumen14
Número2-3
Páginas238-260
Fecha de publicación2013-04-30
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaGlobal Crime (JOURNAL)
Identificadores de la revistaISSN: 1744-0572 • E-ISSN: 1744-0580
EditorialTaylor & Francis (PUBLISHER • GB)
DOI10.1080/17440572.2013.787927
OpenAlexW2083027138
IdiomaEN
Citas recibidas40
Referencias citadas25

There is a growing body of research using social network analysis to study criminal networks. The great majority of this research examines networks at a single time point. Although there are theoretical approaches which hypothesise on how criminal networks develop and grow, little empirical research has been conducted on the growth of criminal networks over time. This project documents the growth of a drug trafficking network. The aims were to examine and describe structural and functional changes in a criminal network across time. We found that the density of the network remained somewhat stable over time, although the network became more decentralised at the final time point measured. Centrality scores for individual nodes showed significant changes over time. Individuals changed the roles performed across time, consistent with the changing needs and focus of the network. Overall, our results support the characterisation of networks as flexible and adaptive

Biology · Centrality · Complex network · Criminology · Distributed computing · Function (biology · Network analysis · Network formation · Network science · Network structure · Social network (sociolinguistics · Social network analysis · Time point · World Wide Web · Computer Science · Crime Patterns and Interventions · Crime, Illicit Activities, and Governance · Engineering · HIV, Drug Use, Sexual Risk · Psychology