Criminal networks and spatial density

G.C. Oatley; J. Zeleznikow; B.W. Ewart

doi:10.1145/1165485.1165531

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Criminal networks and spatial density

G.C. Oatley, J. Zeleznikow and B.W. Ewart

Proceedings of the 10th international conference on Artificial intelligence and law - ICAIL '05

10th international conference on Artificial intelligence and law (ICAIL '05) (Bologna, Italy, 06/06/2005–11/06/2005)

2005

DOI: https://doi.org/10.1145/1165485.1165531

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Abstract

The authors work in this area [2,6,7], in collaboration with West Midlands Police (WMP), is with the high volume crime of Burglary from Dwelling Houses (BDH). The presented work involves the brokerage metric from social network analysis combined with a geographical component (not present in other approaches) to add to the interpretation of the network and its key players. Our work builds upon several years of experimentation using forensic psychology guided exploratory techniques from artificial intelligence, statistics and spatial statistics.

Details

Title: Criminal networks and spatial density
Authors/Creators: G.C. Oatley (Author/Creator) - University of Sunderland
J. Zeleznikow (Author/Creator) - Victoria University
B.W. Ewart (Author/Creator) - University of Sunderland
Publication Details: Proceedings of the 10th international conference on Artificial intelligence and law - ICAIL '05
Conference: 10th international conference on Artificial intelligence and law (ICAIL '05) (Bologna, Italy, 06/06/2005–11/06/2005)
Identifiers: 991005545409907891
Murdoch Affiliation: Murdoch University
Language: English
Resource Type: Conference paper

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