Simulation Analysis of Information Diffusion in Scale Free Network for Considering Node Influence

The influence of nodes in social networks has heterogeneity. Considering the reality that the greater the degree of users, the greater the influence of nodes, this paper constructs a forwarding probability function that affects unknown information nodes transfer to spreader nodes. The results show that compared with the uniform forwarding probability, the heterogeneity of node influence has a significant difference on the proportion of known information nodes, and the network size and other factors also have a significant impact on the final proportion of known information nodes.