Email communications analysis: how to use computational intelligence methods and tools?

The paper aims at investigating computational intelligence methodologies for detecting a change in communication behavioral patterns between e-mail subscribers. This change may indicate a change of social status and behavior, which could be used for early discovery of some preparation to antisocial activity, including but not limiting to terrorist attacks. The patterns in the social interactions or contacts between people by e-mail can be analyzed using social network analysis and user behavior analysis. In this paper we provide a review of the work related to the areas of dynamic modeling and link prediction of social networks, and anomaly detection for detecting changes in the behavior of e-mail usage. The feasibility of neural networks and fuzzy logic methodologies applications for a change detection system design is discussed, as well as a discussion about an e-mail simulation model currently being developed