Study of Information Dissemination in Hypernetworks with Adjustable Clustering Coefficient

The structure of a model has an important impact on information dissemination. Many models hypernetworks have been proposed in recent years, which nodes and hyperedges represent the individuals relationships between individuals, respectively. However, these select old based preference attachment ignore effect aggregation. In real life, friends are more likely to form friendships with each other, social network should be hypernetwork aggregation phenomenon. Therefore, evolution adjustable clustering coefficients is proposed. Subsequently, we use SIS (susceptible–infectious–susceptible) describe propagation process aggregation-phenomenon hypernetwork. addition, establish relationship density informed structural parameters steady state using mean field theory. Notably, modifications do not hyperdegree distribution; however, increase results reduced speed It further observed that can degenerate BA (Barabási–Albert) by setting coefficient zero. Thus, extension stronger applicability.