Abstract
Co-offending networks are generally extracted from police recorded crime data. For doing so, we need to have a clear view of crime data. In this chapter, we first introduce a unified formal model of crime data as a semantic framework for defining in an unambiguous way the meaning of co-offending networks at an abstract level. Then, we introduce a real-world crime dataset, referred to as BC crime dataset which is used in this book, and the BC co-offending network which is extracted from this dataset. The BC crime dataset represents 5 years of police arrest-data for the regions of the Province of British Columbia which are policed by the RCMP, comprising several million data records.
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Notes
- 1.
The Institute for Canadian Urban Research Studies (ICURS) is a university research center at Simon Fraser University.
- 2.
In implementing the analysis tasks, we used SNAP library which is publicly available at http://snap.stanford.edu/.
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Tayebi, M.A., Glässer, U. (2016). Structure of Co-offending Networks. In: Social Network Analysis in Predictive Policing. Lecture Notes in Social Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-41492-8_3
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