• DocumentCode
    2875334
  • Title

    How Much Similar Are Terrorists Networks of Istanbul?

  • Author

    Ozgul, Fatih ; Atzenbeck, Claus ; Erdem, Zeki

  • Author_Institution
    Fac. of Sci., Eng. & Technol., Univ. of Sunderland, Sunderland, UK
  • fYear
    2011
  • fDate
    25-27 July 2011
  • Firstpage
    468
  • Lastpage
    472
  • Abstract
    Most of terrorist groups cooperate, interchange knowledge, skills and materials used for attacks. Terrorist groups in Istanbul are categorized into three main groups within criminological viewpoint: extreme left (i.e. Marxist) groups, extreme right (i.e. Fundamentalist, Radical Islamist) groups, and separatist (i.e. ethnic, racist) groups. Crime ontology for terrorist groups in Istanbul is created by using their criminal history and choices such as selection of crimes, attacking methods and modus operandi. Terrorist groups of Istanbul are attached to this ontology as nodes connected to their attacks. A similarity measure (COSM) is developed according to this ontology. COSM results for Istanbul terrorist groups performed better than two common similarity measures, cosine and Jaccard. COSM similarity result is presented to domain experts in hierarchical clustering and they gave positive feedback. COSM, which is based on attributes of crimes, can also be applied to other types of social networks for measuring similarity.
  • Keywords
    ontologies (artificial intelligence); security of data; social networking (online); terrorism; Istanbul terrorist group; attacking method; crime ontology; criminal history; criminological viewpoint; hierarchical clustering; social network; terrorist network; Law; Materials; Measurement; Ontologies; Social network services; Terrorism; Terrorist networks; ontology; similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Social Networks Analysis and Mining (ASONAM), 2011 International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-1-61284-758-0
  • Electronic_ISBN
    978-0-7695-4375-8
  • Type

    conf

  • DOI
    10.1109/ASONAM.2011.94
  • Filename
    5992616