• DocumentCode
    2575123
  • Title

    Social Network Analysis in Multiple Social Networks Data for Criminal Group Discovery

  • Author

    Shang, Xufeng ; Yuan, Yubo

  • Author_Institution
    Dept. of Inf. & Math. Sci., China Jiliang Univ., Hangzhou, China
  • fYear
    2012
  • fDate
    10-12 Oct. 2012
  • Firstpage
    27
  • Lastpage
    30
  • Abstract
    A criminal network is a kind of social networks with both secrecy and efficiency. The hidden knowledge in criminal networks can be regarded as an important indicators for criminal investigations which can help finding the criminal´s relationship and identifying suspects. However such criminal network analysis has not been studied well in an applied way and remains primarily a manual process. To assist investigators to find criminals relationship, criminal leader, and identify suspicious guys of a conspiracy, we built a comprehensive indicator model using methods developed in the field of Social Network Analysis (SNA). A simulation is done on a large office from open source reports and the ranked list with respect to comprehensive indicator indicates that we provide a reasonable ranking based on the proposed model.
  • Keywords
    network theory (graphs); police data processing; public domain software; social networking (online); SNA; comprehensive indicator model; conspiracies; criminal group discovery; criminal investigations; criminal leader; criminal network analysis; criminal relationship; open source model; social network data analysis; suspect identification; Analytical models; Data mining; Educational institutions; Knowledge engineering; Manuals; Organizations; Social network services; Comprehensive Indicator Model; Criminal Network; Social Network Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2012 International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4673-2624-7
  • Type

    conf

  • DOI
    10.1109/CyberC.2012.14
  • Filename
    6384940