Evolving Model And Information Dissemination In Social Hypernetwork

This paper presents an evolutionary hypernetwork model describing the non-uniform evolution of social networks,in which nodes represent individuals and edges represent relationships between individuals.In order to describe the evolution process of social network more truly,individuals have different social competence parameters and social influence parameters.The number of nodes in the edge is a random integer.The evolution process includes adding new nodes,connecting old nodes and reorganizing the edge.By using Poisson process theory and continuous method,it is proved that the steady-state average over-degree distribution follows the displacement power law(SPL).Our model is universal.In addition,based on the information diffusion model of static hypernetwork,we introduce three dynamic processes to construct the information diffusion model of dynamic hypernetwork.The dynamic model is analyzed and simulated theoretically.The results show that the increase and reorganization of social relations have accelerated the dissemination of information.In addition,the change of the number of nodes only affects the final density of the knowledgeable nodes in the steady state.Then,we discuss the causes of different results caused by different parameters,and reveal the specific impact of changes in social network structure on information dissemination.