In order to reveal the inherent laws of information diffusion in social network,the process of information diffusion in social network was studied in-depth.It was found that the process of information diffusion in social network was not only influenced by the attraction of information and social environment,but also influenced by the attitude of nodes to information.However,the existing information diffusion models rarely considered the attitude of the nodes,and thuscould not reflect the impact of different attitudes of the nodes on the process of information diffusion.Therefore,a node attitude-based information diffusion model was proposed in social network,which combined the node attitude and SIRS model to analyze the influence of node attitude on information diffusion.It also provided the theoretical basis for the study of information diffusion mechanism in social network.In particular,considering the differences in the attitude of different nodes and their change rules,the node attitudes of nodes and their updating principles were respectively defined based on the node behavior.Furthermore,combining the information diffusion and the SIRS model-based infection spread mechanism as well as the impact of node attitude on diffusion state transition,an information diffusion model in social network based on node attitude were obtained by exploiting the social learning theory.The model could describe the diffusion rules,reveal the evolution law of information diffusion and analyze the influence of node attitude on information diffusion.At last,datasets from Sina micro-blog were used as the experimental data in the simulation.The simulation results showed that the attitude of node affected the information diffusion.Meanwhile,it was also demonstrated that the proposed model was more accurate in revealing the information diffusion law and reflecting the process of information diffusion.
