Paper Info
Title
Finding Criminal Attractors Based on Offenders' Directionality of Crimes
Abstract
According to Crime Pattern Theory, individuals all have routine daily activities which require frequent travel between several nodes, with each being used for a different purpose, such as home, work or shopping. As people move between these nodes, their familiarity with the spatial area around the nodes, as well as between nodes, increases. Offenders have the same spatial movement patterns and Awareness Spaces as regular people, hence according to theory an offender will commit the crimes in their own Awareness Space. This idea is used to predict the location of the nodes within the Awareness Space of offenders. The activities of 57,962 offenders who were charged or charges were recommended against them were used to test this idea by mapping their offense locations with respect to their home locations to determine the directions they move. Once directionality to crime was established for each offender, a unique clustering technique, based on K-Means, was used to calculate their Cardinal Directions through which the awareness nodes for all offenders were calculated. It was found that, by looking at the results of various clustering parameters, offenders tend to move towards central shopping areas in a city, and commit crimes along the way. Almost all cluster centers were within one kilometer of a shopping center. This technique of finding Criminal Attractors allows for the reconstruction of the spatial profile of offenders, which allows for narrowing the possible suspects for new crimes.
Year
DOI
Venue
2011
10.1109/EISIC.2011.34
EISIC
Keywords
Field
DocType
regular people,awareness space,own awareness space,shopping center,spatial profile,spatial movement pattern,awareness spaces,finding criminal,home location,spatial area,central shopping area,space exploration,data models,criminal law,databases,clustering,visualization,directionality,mathematical model
Attractor,Internet privacy,Activities of daily living,Pattern theory,Computer security,Computer science,Commit,Kilometer,Cardinal direction,Criminal law,Cluster analysis
Conference
Citations 
PageRank 
References 
6
1.18
2
Authors
4
Name
Order
Citations
PageRank
Richard Frank1759.59
Martin A. Andresen2203.26
Connie Cheng371.54
Patricia Brantingham4294.56