Accessibility navigation

The automatic identification and prioritisation of criminal networks from police crime data

Adderley, R., Badii, A. and Wu, C. (2008) The automatic identification and prioritisation of criminal networks from police crime data. In: OrtizArroyo, D., Larsen, H.L., Zeng, D.D., Hicks, D. and Wagner, G. (eds.) Intelligence and security informatics, proceedings. Springer-Verlag, Berlin, 5–14. ISBN 9783540898993

Full text not archived in this repository.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.


The identification of criminal networks is not a routine exploratory process within the current practice of the law enforcement authorities; rather it is triggered by specific evidence of criminal activity being investigated. A network is identified when a criminal comes to notice and any associates who could also be potentially implicated would need to be identified if only to be eliminated from the enquiries as suspects or witnesses as well as to prevent and/or detect crime. However, an identified network may not be the one causing most harm in a given area.. This paper identifies a methodology to identify all of the criminal networks that are present within a Law Enforcement Area, and, prioritises those that are causing most harm to the community. Each crime is allocated a score based on its crime type and how recently the crime was committed; the network score, which can be used as decision support to help prioritise it for law enforcement purposes, is the sum of the individual crime scores.

Item Type:Book or Report Section
Divisions:Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
ID Code:14329
Uncontrolled Keywords:Criminal networks, Criminal intelligence
Additional Information:1st European Conference on Intelligence and Security Informatics Esbjerg, DENMARK 3-5 Dec 2008

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation