Research output per year
Research output per year
David Anthony Bright, Jordan J. Delaney
Research output: Chapter in Book/Report/Conference proceeding › Chapter › 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 net- works 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 some- what 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 chang- ing 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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Title of host publication | Advances in Research on Illicit Networks |
Publisher | Routledge |
Chapter | 8 |
Pages | 120-142 |
Number of pages | 23 |
ISBN (Electronic) | 9781317579762, 9781317579755 |
ISBN (Print) | 9781138824652 |
DOIs | |
Publication status | Published - 14 Apr 2016 |
Externally published | Yes |
Research output: Contribution to journal › Article › peer-review