A Social Network Analysis Approach to Detecting Suspicious Online Financial Activities

  • Lei Tang
  • Geoffrey Barbier
  • Huan Liu
  • Jianping Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6007)

Abstract

Social network analysis techniques can be applied to help detect financial crimes. We discuss the relationship between detecting financial crimes and the social web, and use select case studies to illustrate the potential for applying social network analysis techniques. With the increasing use of online financing services and online financial activities, it becomes more challenging to find suspicious activities among massive numbers of normal and legal activities.

Keywords

Social Networks Social Network Analysis Crime detection 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Lei Tang
    • 1
  • Geoffrey Barbier
    • 1
  • Huan Liu
    • 1
  • Jianping Zhang
    • 2
  1. 1.Data Mining and Machine Learning LaboratoryArizona State UniversityTempe
  2. 2.The MITRE CorporationMcLean

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