Analyzing Structure of Terrorist Networks by Using Graph Metrics


Cinar M. S. , GENÇ B. , Sever H. , Raghavan V. V.

IEEE International Conference on Big Knowledge (IEEE ICBK), Hefei, Çin, 9 - 10 Ağustos 2017, ss.9-16 identifier identifier

  • Cilt numarası:
  • Doi Numarası: 10.1109/icbk.2017.24
  • Basıldığı Şehir: Hefei
  • Basıldığı Ülke: Çin
  • Sayfa Sayıları: ss.9-16

Özet

All criminal networks are social networks with multiple channels of communication and collaboration between their members. In this paper, we analyze different types of criminal networks with respect to metrics commonly used in social network analysis literature. We focus mostly on two types of networks: cocaine trading and terrorist activities. We also include a legal organization's network for comparison. Our findings reveal that there are significant differences in terms of some of these metrics between different types of criminal networks. These differences, in turn, may help security forces to identify unknown networks or substructures in very large networks as potential criminal networks.