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2018 - ACJS 55th Annual Meeting Words: 164 words || 
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1. Paynich, Rebecca. "Repeat Offenders and Events: Prediction and Analysis with Risk Terrain Modeling, Near Repeat Calculator, Social Network Analysis, and Neural Network Analysis" Paper presented at the annual meeting of the ACJS 55th Annual Meeting, Hilton New Orleans Riverside, New Orleans, LA, Feb 13, 2018 <Not Available>. 2019-04-19 <http://citation.allacademic.com/meta/p1347094_index.html>
Publication Type: Paper Presentation
Review Method: Peer Reviewed
Abstract: Using repeat offender, arrest, and incident data in three different U.S. cities, this presentation discusses the results of four different and useful analyses for predicting crime. Risk Terrain Modeling, developed by Caplan and Kennedy (2010), uses crime correlates and GIS to predict emerging micro hotspots of crime. Ratcliff’s Near Repeat Calculator relies on user defined spatial and temporal bandwidths to identify pairs of originating and repeating events and utilizes Monte Carlo Iterations to test for significant patterns. The Near Repeat Calculator is useful for analyzing certain types of crime including burglaries and robberies. Social Network Analysis can be utilized to better understand co-offending patterns in arrest data. Neural Networks, which are a type of ‘black box’ machine learning algorithms, can efficiently solve classification problems and have utility in analyzing crime. Findings suggest that these four techniques can paint a more complete picture of crime and can yield more accurate prediction models that can aid in improved resource deployment and ultimately increased crime prevention.

2017 - American Society of Criminology Words: 104 words || 
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2. Kikuchi, George. and Thomas, Kevin. "Analysis of Shootings by Combining Social Network Analysis and Spatial Analysis" Paper presented at the annual meeting of the American Society of Criminology, Philadelphia Marriott Downtown, Philadelphia, PA, Nov 14, 2017 <Not Available>. 2019-04-19 <http://citation.allacademic.com/meta/p1278841_index.html>
Publication Type: Individual Paper
Review Method: Peer Reviewed
Abstract: Existing studies have indicated the utility of social network analysis in understanding the complexity of shooting events and in reducing gun violence through focused interventions. Social network analysis can also be an important investigative support tool to analyze victims’ and offenders’ known associates. The analytical technique can further be leveraged by combining it with spatial analysis. Such an approach can be particularly useful to uncover relationships that may exist across police divisions and districts. The current study examines the extent of inter-divisional shootings, characteristics of such shootings, and discusses the practical utility of the suggested approach in policing and investigations.

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