Measurement of repeat effects in Chicago’s criminal social network

Applied Computing and Informatics

Joseph Candella¹  Jonathan Lewin¹  Miles N. Wernick²  Yongyi Yang²  Paul Kump²  David Haro Alonso² 

[1] Chicago Police Department, 3510 S. Michigan Ave., Chicago, IL 60653, USA;Medical Imaging Research Center and Dept. of Electrical and Computer Engineering, Illinois Institute of Technology, 3300 S. Federal St., Chicago, IL 60616, USA;

关键词: Crime analysis;    Social network analysis;    Violent crime;    Predictive policing;   

DOI  :  10.1016/j.aci.2016.01.002

来源: DOAJ

【 摘 要 】

The “near-repeat” effect is a well-known criminological phenomenon in which the occurrence of a crime incident gives rise to a temporary elevation of crime risk within close physical proximity to an initial incident. Adopting a social network perspective, we instead define a near repeat in terms of geodesic distance within a criminal social network, rather than spatial distance. Specifically, we report a statistical analysis of repeat effects in arrest data for Chicago during the years 2003–2012. We divide the arrest data into two sets (violent crimes and other crimes) and, for each set, we compare the distributions of time intervals between repeat incidents to theoretical distributions in which repeat incidents occur only by chance. We first consider the case of the same arrestee participating in repeat incidents (“exact repeats”) and then extend the analysis to evaluate repeat risks of those arrestees near one another in the social network. We observe repeat effects that diminish as a function of geodesic distance and time interval, and we estimate typical time scales for repeat crimes in Chicago.

【 授权许可】

Unknown