• DocumentCode
    3302633
  • Title

    Detecting Key Players in Terrorist Networks

  • Author

    Berzinji, Ala ; Kaati, Lisa ; Rezine, Ahmed

  • Author_Institution
    Univ. of Sulaimani, Sulaimani, Iraq
  • fYear
    2012
  • fDate
    22-24 Aug. 2012
  • Firstpage
    297
  • Lastpage
    302
  • Abstract
    The interest in analyzing loosely connected and decentralized terrorist networks of global reach has grown during the past decade. Social Network Analysis (SNA) is one approach towards understanding terrorist networks since it can be used to analyze the structure of a network and to detect important persons and links. In this work we study decentralized terrorist networks with different types of nodes. The nodes can be either organizations, places or persons. We use a combination of different centrality measures to detect key players in such networks.
  • Keywords
    security of data; social networking (online); SNA; decentralized terrorist networks; key player detection; loosely connected terrorist networks; social network analysis; Algorithm design and analysis; Data models; Logic gates; Organizations; Social network services; Terrorism; Terrorist network; centrality; social network analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence and Security Informatics Conference (EISIC), 2012 European
  • Conference_Location
    Odense
  • Print_ISBN
    978-1-4673-2358-1
  • Type

    conf

  • DOI
    10.1109/EISIC.2012.13
  • Filename
    6298852