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Considering the noticeable attraction of users to social networking sites, lots of research has been carried out to take advantage of the userspsila information available in these sites. Knowledge mining techniques have been developed in order to extract valuable pieces of information from the userspsila activities. This paper deals with a methodology to generate a social graph of userspsila actions and predict the future social activities of the users based upon the existing relationships. This graph is updated dynamically based on the changes in the selected social network. The forecasting performed is based upon some predefined rules applied on the graph.
Computer Software and Applications Conference, 2009. COMPSAC '09. 33rd Annual IEEE International (Volume:2 )
Date of Conference: 20-24 July 2009