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Organized Crime Group Detection

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

Abstract

In this chapter, we propose a new computational approach to organized crime group detection based on a social network analysis perspective. A challenging aspect is the need for a precise definition of what exactly constitutes a criminal organization. Confronted with a bewildering diversity of characteristics in definitions of organized crime and criminal organizations, the conceptual model of organized crime appears not clearly rendered in the literature—at least not for the purpose of computational analysis (http://www.crime-prevention-intl.org/fileadmin/user_upload/Publications/Crime_Prevention_and_Community_Safety_ANG.pdf, April 2010; Carlo, Inside criminal networks. Springer, Berlin, 2009; Block, East side-West side: organizing crime in New York City, 1930–1950. Transaction Publishers, New Brunswick, 1994; van der Heijden, https://www.ncjrs.gov/policing/mea313.htm, 1996; Fijnaut et al, Organized crime in the Netherlands. Kluwer Law International, The Hague, 1998; von Lampe, http://www.organized-crime.de/organizedcrimedefinitions.htm, Feb 2015).

Keywords

Organize Crime Maximal Clique Community Detection Criminal Code Criminal Organization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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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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