Terrorist and criminal social network data sharing andintegration

Authors:
Xuning Tang;Christopher C. Yang
Affiliations:
College of Information Science and Technology, Drexel University, Philadelphia;College of Information Science and Technology, Drexel University, Philadelphia
Venue:
ISI'09 Proceedings of the 2009 IEEE international conference on Intelligence and security informatics
Year:
2009

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Abstract

Social networks are valuable resources for intelligence and law enforcement force in their investigations when they want to identify suspects, terrorist or criminal subgroups and their communication patterns. However, missing information in a terrorist or criminal social network always diminish the effectiveness of investigation. Sharing and integration of social networks from different agencies helps increasing its effectiveness; however, information sharing is usually forbidden due to the concern of privacy protection. In this paper, we introduce the subgraph generalization and mechanism to integrate generalized information to conduct social network analysis.