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Spatiotemporal correlations in criminal offense records

Published:15 July 2011Publication History
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Abstract

With the increased availability of rich behavioral datasets, we present a novel application of tools to analyze this information. Using criminal offense records as an example, we employ cross-correlation measures, eigenvalue spectrum analysis, and results from random matrix theory to identify spatiotemporal patterns on multiple scales. With these techniques, we show that most significant correlation exists on the time scale of weeks and identify clusters of neighborhoods whose crime rates are affected simultaneously by external forces.

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          cover image ACM Transactions on Intelligent Systems and Technology
          ACM Transactions on Intelligent Systems and Technology  Volume 2, Issue 4
          July 2011
          272 pages
          ISSN:2157-6904
          EISSN:2157-6912
          DOI:10.1145/1989734
          Issue’s Table of Contents

          Copyright © 2011 ACM

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          Publication History

          • Published: 15 July 2011
          • Revised: 1 August 2010
          • Accepted: 1 August 2010
          • Received: 1 July 2010
          Published in tist Volume 2, Issue 4

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