Online rating can directly reflect users’ collective behavioral patterns which is of great concern in online social systems. In this paper, we investigate the correlations between the users’ rating behaviors and the real-time updated average ratings of objects given from other users’...

Online users’ collective interests play an important role for analyzing the online social networks and personalized recommendations. In this paper, we introduce the information entropy to measure the diversity of the user interests. We empirically analyze the information entropy of the objects...

Most existing social learning models assume that there is only one underlying true state. In this work, we consider a social learning model with multiple true states, in which agents in different groups receive different signal sequences generated by their corresponding underlying true states....

A complex ad hoc network model with accelerated growth is proposed in this paper. In the evolving process of the model, at each time step with the addition probability c1, a new vertex with m(t) edges is added into the model, which new adding edges are connected with the old vertices according...

A weighted Olami, Feder, and Christensen (OFC) model, improving the redistribution rule of the original model, has been introduced. It can be seen as a generalization of the OFC model and exhibits Self-organized criticality (SOC) behavior, too. The stress evolution process has been accelerated...