VCCM mining: mining virtual community core members based on gene expression programming

Authors:
Shaojie Qiao;Changjie Tang;Jing Peng;Hongjian Fan;Yong Xiang
Affiliations:
School of Computer Science and Engineering, Sichuan University, Chengdu, China;School of Computer Science and Engineering, Sichuan University, Chengdu, China;School of Computer Science and Engineering, Sichuan University, Chengdu, China;Department of Computer Science and Software Engineering, the University of Melbourne, Australia;School of Computer Science and Engineering, Sichuan University, Chengdu, China
Venue:
WISI'06 Proceedings of the 2006 international conference on Intelligence and Security Informatics
Year:
2006

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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.