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Concluding Remarks

  • Mohammad A. Tayebi
  • Uwe Glässer
Chapter
Part of the Lecture Notes in Social Networks book series (LNSN)

Abstract

This book extends and integrates multidisciplinary research into a methodological framework for employing social network analysis in predictive policing, an emerging field with high potential to serve as a powerful tool for crime reduction and prevention. Predictive policing enables law enforcement agencies to be smart and effective in deploying their resources. Social network analysis can play a pivotal role in predictive policing by mining patterns of relationship among offenders.This research covers major problems in predictive policing that can take advantage of social network analysis, and is the first comprehensive work in this domain, to the best of our knowledge. We believe the systematic approach for studying the criminological problems presented in this work opens the door for researchers in criminology and computer science fields to explore important issues pertaining to public safety, and facilitates more informed and deliberate adoption of predictive policing as a complement for existing policing methods.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Mohammad A. Tayebi
    • 1
  • Uwe Glässer
    • 1
  1. 1.Computing ScienceSimon Fraser UniversityBritish ColumbiaCanada

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