A Novel Genetic Based Framework for the Detection and Destabilization of Influencing Nodes in Terrorist Network

  • Saumil Maheshwari
  • Akhilesh Tiwari
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 31)


The Social Network Analysis analyses social network on web. SNA has led the law enforcement agencies to study the behavior of terrorist networks for the identification of relationships that may exist between nodes. Recently, Terrorist Network Mining (special branch of SNA) has been in vogue in Data mining community because of its ability to identify key nodes present in the network. This paper proposes a new approach for Terrorist network mining. The proposed work is carried out in two phases. The first phase proposes Genetic based optimization mechanism. Proposed mechanism is suitable for effective optimization of large social network containing terrorist and non-terrorist nodes. During optimization process removal of non-terrorist nodes from the network has been performed and resultant represents the reduced graph containing only the set of potential nodes. The second phase proposes a weighted degree centrality measure (considers frequency of communication) for effectively neutralizing of the terrorist network.


Social network analysis Terrorist network mining Genetic algorithm 


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Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.Department of CSE and ITMadhav Institute of Technology and ScienceGwaliorIndia

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