NDLI: Locating Central Actors in Co-offending Networks

Content Provider	IEEE Xplore Digital Library
Author	Tayebi, M.A. Bakker, L. Glasser, U. Dabbaghian, V.
Copyright Year	2011
Abstract	A co-offending network is a network of offenders who have committed crimes together. Recently different researches have shown that there is a fairly strong concept of network among offenders. Analyzing these networks can help law enforcement agencies in designing more effective strategies for crime prevention and reduction. One of the important tasks in co-offending network analysis is central actors identification. In this paper, firstly we introduce a data model, called unified crime data model to bridge the conceptual gap between abstract crime data level and co-offending network mining level. Using this data model, we extract the co-offending network of five years real-world crime data. Then we apply different variations of centrality methods on the extracted network and discuss how key player identification and removal can help law enforcement agencies in policy making for crime reduction.
Starting Page	171
Ending Page	179
File Size	843531
Page Count	9
File Format	PDF
ISBN	9781612847580
DOI	10.1109/ASONAM.2011.120
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-25
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Knowledge engineering Analytical models Law enforcement Social network services Probabilistic logic Data models Data mining
Content Type	Text
Resource Type	Article

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