Friend circles network: formation and the law of news dissemination

Real social network feature many small groups with information exchange among groups. Groups often overlap with each other, and individuals can be in multiple groups. By simulating the information transmission process in different networks with structural changes, we can obtain a deeper understanding of the attribute characteristics of complex networks and the law of information transmission. Therefore, to study the process of information exchange and dissemination in complex and overlapping group networks, this paper first constructs the friend circles network (FCnet) and then proposes a dynamic information dissemination circle-susceptible–infected–removed (C-SIR) model. In this model, we discuss the extent of interest and impact among neighbours in the same circle and cross circles in FCnet, as well as the scale of imminent connections between circles. The validity and authenticity of the model are verified based on synthetic data and real data, and the conclusion that the C-SIR model can accelerate information propagation, maintain popularity, and expand the infection radius is obtained.