Prediction of past unsolved terrorist attacks
ISI'09 Proceedings of the 2009 IEEE international conference on Intelligence and security informatics
Combined detection model for criminal network detection
PAISI'10 Proceedings of the 2010 Pacific Asia conference on Intelligence and Security Informatics
Which crime features are important for criminal network members?
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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Criminal networks evolve over time with the formation and dissolution of links to survive control efforts by government authorities. Previous studies have shown that the link formation process in such networks is influenced by a set of facilitators. However, there have been few empirical evaluations to determine the significant facilitators. In this study, we used dynamic social network analysis methods to examine several plausible link formation facilitators in a large-scale real-world narcotics network. Multivariate Cox regression showed that mutual acquaintance and vehicle affiliations were significant facilitators in the network under study. The findings shown in this poster can help government authorities automatically predict co-offending relationships in future crimes.