Provenance based Trust computation for Recommendation in Social Network
A. Christiyana Arulselvi, Selvaraju Sendhilkumar, G. S. Mahalakshmi · 2016
The term social network means to develop traditional communication among people. As it becomes online, the people in communication don't have face-to-face contact and also they may be known or unknown. Though known, there is no guarantee and confident that one who contact as a requester is a friend or foe. This paper aims towards developing a provenance-based trust model by utilizing the reputation of the mutual friend from the interaction he/she had with the requester. Provenance factors identified from the interaction information are used to compute the reputation. Because of the uncertainty in the behavior of a person in online social networking (OSN) sites, a stochastic model that evolves the randomness over time is applied and the trust computation is further refined. A statistical approach using Bayesian is used for recommending trustable request.