A Dynamic Model of Information Dissemination Behavior and Network Effects Estimate Framework in Social Network

The rise of online social networks provide data support for the dynamic behavior modeling and social networks influence evaluation, which are hotspots on social networks research home and abroad. In this paper, we first focus on abstracting the behavior of online social networks to construct the dynamic model of information dissemination based on information gain, information cost, the state space and social effect. Then, we evaluate the behavioral utility function according to the state transition probability, and reconstruct structure variables in each period. Finally, we propose the social network influence assessment framework based on the conditional optimal state for the social influence evaluation.