Email Analysis for Community Detection - Multi-User Perspective

Email classification has the capacity to group emails and user as community which is based on communication arrangement. Personalized network is used to understand the behavior of each user in an email and it analyze the various or different aspect of community structure e.g. the person who is having the same likeliness in a various social relations. The proposed system extracts single user or multi user from the email corpus using statistical analysis. This methodology uses a multi-user personalized email community detection method and tracks the email user it should be grouped. It also depends on their structural and semantic intimacy. Multi-user personalization concept used to find out the structure of community with fuzzy information i.e., an incomplete set of email details. The interactions are visualized as social graphs.