Impact of Structure Balance on Opinion Spreading in Signed Social Networks

In this paper, we propose models to characterize the process of opinion spreading in signed social networks under the impact of structure balance. We classify users into different types according to their positive link numbers, and define the term user influence to characterize the average number of times that users are influenced, which is incurred by a user spreading an opinion. We then present an approach to analyze the user influence theoretically, and the accuracy is verified by simulations.