• DocumentCode
    2054818
  • Title

    Node Removal in Criminal Networks

  • Author

    Petersen, Rasmus Rosenqvist ; Rhodes, Christopher J. ; Wiil, Uffe Kock

  • Author_Institution
    Counterterrorism Res. Lab., Univ. of Southern Denmark, Odense, Denmark
  • fYear
    2011
  • fDate
    12-14 Sept. 2011
  • Firstpage
    360
  • Lastpage
    365
  • Abstract
    A criminal network is a special kind of social network with emphasis on both secrecy and efficiency. Node removal is a well known technique for destabilization of criminal networks. Deciding which node or group of nodes to remove is dependent on available information and the topology of the criminal network (hierarchical, cellular, etc.), complicating the prediction of network changes following a node removal. The Crime Fighter Investigator tool supports a node removal approach with two perspectives: an inference-based prediction of new probable links and changes in standard social network degree centrality. We test the node removal algorithm on a criminal network aggregated from open source reports, creating hypotheses based on path distance and degree centrality changes.
  • Keywords
    inference mechanisms; police data processing; social networking (online); Crime Fighter Investigator tool; criminal networks; inference-based prediction; node removal; social network; Algorithm design and analysis; Current measurement; Lead; Prediction algorithms; Social network services; Terrorism; Visualization; crimefighter investigator; decision-making; inference-based prediction; node removal; social network analysis;
  • 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.2011.57
  • Filename
    6061231