Time Characteristics of Group Interaction Behavior in Online Social Network

For interaction behavior of users in online social networks,we build a biased diffusion model to explain time interval distribution characteristics of group posting and event by relating task interval time τ and task execution time θ. We demonstrate that, for τ≥θ,time intervals follow power law distribution; and for τ>>θ,time intervals follow power law distribution with exponential effect. Experimental results validate the model.