• DocumentCode
    116635
  • Title

    Understanding South Asian Violent Extremist Group-group interactions

  • Author

    Skillicorn, D.B. ; Spezzano, Francesca ; Subrahmanian, V.S. ; Garber, M.

  • Author_Institution
    Sch. of Comput., Queen´s Univ., Kingston, ON, Canada
  • fYear
    2014
  • fDate
    17-20 Aug. 2014
  • Firstpage
    687
  • Lastpage
    694
  • Abstract
    The South Asian Violent Extremist Group (SAVE) dataset describes 500 interactions between 30 South Asian terrorist groups over a 20-year period. We analyze 4 types of interactions between these groups (financial, logistical, operational, and political) via 4 network-theoretic techniques: spectral decomposition and Simmelian ties in an undirected version of the network, and PageRank and betweenness centrality on directed versions of the network. We identify the major players in both the provision and the flows through this network for each type of support. Our analysis shows that the five entities most involved in providing and facilitating all forms of support are Al Qaeda, the Pakistani Inter-Services Intelligence Agency, the Taliban, Lashkar-e-Taiba, and Tehreek-e-Taliban Pakistan.
  • Keywords
    graph theory; interactive systems; social networking (online); Al Qaeda; PageRank; Pakistani Inter-Services Intelligence Agency; SAVE; South Asian violent extremist group-group interactions; Taliban, Lashkar-e-Taiba; Tehreek-e-Taliban Pakistan; betweenness centrality; financial interaction; logistical interaction; operational interaction; political interaction; spectral decomposition; Damping; Organizations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Social Networks Analysis and Mining (ASONAM), 2014 IEEE/ACM International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ASONAM.2014.6921660
  • Filename
    6921660