VCCM Mining: Mining Virtual Community Core Members Based on Gene Expression Programming

  • Shaojie Qiao
  • Changjie Tang
  • Jing Peng
  • Hongjian Fan
  • Yong Xiang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3917)

Abstract

Intelligence operation against the terrorist network has been studied extensively with the aim to mine the clues and traces of terrorists. The contributions of this paper include: (1) introducing a new approach to classify terrorists based on Gene Expression Programming (GEP); (2) analyzing the characteristics of the terrorist organization, and proposing an algorithm called Create Virtual Community (CVC) based on tree-structure to create a virtual community; (3) proposing a formal definition of Virtual Community (VC) and the VCCM Mining algorithm to mine the core members of a virtual community. Experimental results demonstrate the effectiveness of VCCM Mining.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Shaojie Qiao
    • 1
  • Changjie Tang
    • 1
  • Jing Peng
    • 1
  • Hongjian Fan
    • 2
  • Yong Xiang
    • 1
  1. 1.School of Computer Science and EngineeringSichuan UniversityChengduChina
  2. 2.Department of Computer Science and Software Engineeringthe University of MelbourneAustralia

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