Published January 1, 2010
| Version v1
Conference paper
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Comparison of feature-based criminal network detection models with k-core and n-clique
- 1. Univ Sunderland, Dept Comp Engn & Technol, Informat Ctr, St Peters Way, Sunderland SR6 0DD, Tyne & Wear, England
- 2. TUBITAK UEKAE, Inst Informat Technol, Gebze, Kocaeli, Turkey
- 3. German Univ Cairo, Fac Media Engn & Technol, Cairo, Egypt
Description
Four group detection models (e.g. GDM, OGDM, SoDM and ComDM) are developed based on crime data features. These detection models are compared more common baseline SNA group detection algorithms. It is intended to find out, whether these four crime data specific group detection models can perform better than widely used k-core and n-clique algorithms. Two data sets which contain previously known criminal networks are used as testbeds.
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