• DocumentCode
    2055103
  • Title

    Multi-relational Network Analysis for Covert Organizations

  • Author

    Sun Duo-yong ; Guo Shu-quan ; Liu Xiao-Peng ; Li Jiang

  • Author_Institution
    Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2011
  • fDate
    12-14 Sept. 2011
  • Firstpage
    263
  • Lastpage
    268
  • Abstract
    Rapid development of social network theory provides new perspective for the study of covert organizational behavior and becomes new research hot topic in the international academic circle. Conventional covert organization network research mainly involves interpersonal relationships among members and there are some limitations. Problems that need to be solved at present include introducing more elements according to the nature of covert organization activities, more appropriately describing characteristics of organization activities and improving pertinence of disintegration strategies. This paper presents construction and analysis methods of multi-relational network of covert organizations from multiple perspectives of interpersonal relationships, resources, skills and tasks, conducts empirical study combining typical organizational activities and provides new approach for deeper understanding of characteristics of covert organization activities and construction of disintegration strategies.
  • Keywords
    organisational aspects; social networking (online); covert organization activities; covert organization network research; covert organizational behavior; disintegration strategies; interpersonal relationships; multirelational network analysis; social network theory; Educational institutions; Indexes; Organizations; Planning; Resource management; Social network services; Terrorism; Covert organization; multi-relation; social network analysis; terrorist network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence and Security Informatics Conference (EISIC), 2011 European
  • Conference_Location
    Athens
  • Print_ISBN
    978-1-4577-1464-1
  • Electronic_ISBN
    978-0-7695-4406-9
  • Type

    conf

  • DOI
    10.1109/EISIC.2011.28
  • Filename
    6061246