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).
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Notes
- 1.
We are aware of the possibility that apparent sporadic activity could result from group activities not coming to the attention of the police during a given time period rather than from actual lack of criminal activity during that time period.
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Tayebi, M.A., Glässer, U. (2016). Organized Crime Group Detection. In: Social Network Analysis in Predictive Policing. Lecture Notes in Social Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-41492-8_4
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