• DocumentCode
    2098023
  • Title

    Discovering Hierarchical Structure in Terrorist Networks

  • Author

    Shaikh, Muhammad Akram ; Jiaxin, Wang

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing
  • fYear
    2006
  • fDate
    13-14 Nov. 2006
  • Firstpage
    238
  • Lastpage
    244
  • Abstract
    The network structure of a group determines its strengths and weaknesses. A general knowledge of the prevalent models of terrorist organizations and its analysis methods leads to a better understanding of their capabilities. One important method is centrality analysis, which determines the relative importance of vertices (terrorists) in a network based on their connectivity within the network structure. In this paper, we address the hierarchy property sharing among a large amount of networks. Based upon the degree centrality (DC) and eigenvector centrality (EC) measure, a method is proposed to discover the hierarchical structure of a terrorist network. This hierarchical structure sheds light on the leadership and the likely sub groups embedded in the network
  • Keywords
    complex networks; eigenvalues and eigenfunctions; hierarchical systems; terrorism; degree centrality; discovering hierarchical structure; eigenvector centrality; network structure; terrorist networks; terrorist organizations; Complex networks; Computer science; Information analysis; Joining processes; Lattices; Social network services; Symmetric matrices; Terrorism;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies, 2006. ICET '06. International Conference on
  • Conference_Location
    Peshawar
  • Print_ISBN
    1-4244-0502-5
  • Electronic_ISBN
    1-4244-0503-3
  • Type

    conf

  • DOI
    10.1109/ICET.2006.335966
  • Filename
    4136933