Comparison of Feature-Based Criminal Network Detection Models with k-Core and n-Clique
Fatih Ozgul, Zeki Erdem, Chris Bowerman, Claus Atzenbeck · 2010
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.