Measurement of Repeat Effects in Chicago's Criminal Social Network

• NCJ Number: 251330
• Journal: Applied Computing and Informatics Volume: 12 Issue: 2 Dated: July 2016 Pages: 154-160
• Author(s): K. Kump; D. H. Alonso; Y. Yang; J. Candella; J. Lewin; M. N. Wernick
• Date Published: July 2016
• Length: 7 pages
• Grant Number(s): 2011-IJ-CX-K014
• Agencies: NIJ-Sponsored
• Publication Type: Research (Applied/Empirical); Report (Study/Research); Report (Grant Sponsored); Program/Project Description
• Award: Chicago Police Predictive Policing Demonstration and Evaluation Project: Phase 2

Annotation

This study conducted a statistical analysis of repeat effects in arrest data for Chicago during the years 2003-2012.

Abstract

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, the current study instead defines a "near repeat" in terms of geodesic distance within a criminal social network, rather than spatial distance. The study divided the arrest data into two sets (violent crimes and other crimes); and for each set, the study compared the distributions of time intervals between repeat incidents to theoretical distributions of time intervals between repeat incidents to theoretical distributions in which repeat incidents occur only by chance. Researchers first considered the case of the same arrestee participating in repeat incidents ("exact repeats") and then extended the analysis to evaluate repeat risks of those arrestees near one another in the social network. Repeat effects were observed that diminished as a function of geodesic distance and time interval; and typical time scales for repeat crimes in Chicago were estimated. (Publisher abstract modified)