Identifying Potential Suspects by Temporal Link Analysis

This paper describes the application of temporal link and content analysis to the well-known Enron e-mail dataset. TeCFlow permits to extract dynamic movies of the evolution of social networks, identifying gatekeepers and other central actors, as well as to generate temporally correlated cluster maps of e-mail content. Our approach combining social network analysis with information mining permits intelligence analysts to easily identify patterns of potentially suspicious actors and activities in large e-mail and other communication archives.