Reputation model based on Bayesian theory and eigenvector in complex networks

With the enormous increase in digital relations, many users aspire to have been establishing new relations. The problem arises that the relations of the users cannot distinguish trust relations from distrust ones. Therefore, finding an effective reputation for social relations is an important research topic. In this paper, develop reputation model has been provided to improve the reliability of reputation score for social relations. The reputation model classifies into types one is to calculate direct reputation that depends on direct interaction between users, while the second calculates reputation between users according to the recommendation from neighbors. The total reputation score can be produced from the integration between the direct reputation and indirect reputation.