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Predicting criminal relationships using multivariate survival analysis


Kaza, Siddharth; Hu, Daning; Atabakhsh, Homa; Chen, Hsinchun (2007). Predicting criminal relationships using multivariate survival analysis. In: International conference on Digital government research, USA, 20 May 2007 - 23 May 2007, 290-291.

Abstract

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.

Abstract

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.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:23 May 2007
Deposited On:27 Jun 2012 14:59
Last Modified:07 Dec 2017 13:13
Publisher:ACM
ISBN:1-59593-599-1
Additional Information:Proceedings of the 8th annual international conference on Digital government research
Official URL:http://dl.acm.org/citation.cfm?id=1248524&CFID=91984860&CFTOKEN=36973344
Other Identification Number:merlin-id:6384

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