Reliable Social Trust Management with Mitigating Sparsity Problem

Social networks express the information flows of individuals or groups using actors and relationships. Along with the growth of WWW, interest in large-scaled social networks has grown bigger. However, social networks being applied in diverse areas are facing with sparsity problems resulting from a shortage of actual relations with structural properties. Therefore, in this paper, sparsity problems are solved by creating contents based virtual relations applied with the clustering approach. In addition, a reliable social trust model is presented through combinations of actual relations and virtual relations. In experiments, the performance of the proposed approach will be evaluated using connectivity between nodes and F-measures.