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Terrorist and criminal social network data sharing and integration
Conference proceeding

Terrorist and criminal social network data sharing and integration

Xuning Tang and Christopher C Yang
2009 IEEE International Conference on Intelligence and Security Informatics, pp 230-230
Jun 2009

Abstract

Data mining Distance measurement information sharing Logic gates Organizations Privacy privacy preservation social network analysis and mining Social network services subgraph generalization Terrorism
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.

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Computer Science, Theory & Methods
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