Proceedings of the 13th international conference on World Wide Web
Journal of the American Society for Information Science and Technology
Email alias detection using social network analysis
Proceedings of the 3rd international workshop on Link discovery
ACM Transactions on Information Systems (TOIS)
Authorship classification: a syntactic tree mining approach
Proceedings of the ACM SIGKDD Workshop on Useful Patterns
Analysis of Weak Signals for Detecting Lone Wolf Terrorists
EISIC '12 Proceedings of the 2012 European Intelligence and Security Informatics Conference
Detecting multiple aliases in social media
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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Many extremist groups and terrorists use the Web for various purposes such as exchanging and reinforcing their beliefs, making monitoring and analysis of discussion boards an important task for intelligence analysts in order to detect individuals that might pose a threat towards society. In this work we focus on how to automatically analyze discussion boards in an effective manner. More specifically, we propose a method for fusing several alias (entity) matching techniques that can be used to identify authors with multiple aliases. This is one part of a larger system, where the aim is to provide the analyst with a list of potential extremist worth investigating further.