Research output per year
Research output per year
David Bright, Jordan Delaney
Research output: Contribution to journal › Article › peer-review
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.
Original language | English |
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Pages (from-to) | 238-260 |
Number of pages | 23 |
Journal | Global Crime |
Volume | 14 |
Issue number | 2-3 |
DOIs | |
Publication status | Published - 9 Jul 2013 |
Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review