Information Diffusion Model Based on Social Big Data

Users can access Weibo, a widely used social network platform, through mobile clients or PCs at any time for social interaction. This paper describes an information diffusion model based on the Weibo platform, which is used to measure information diffusion based on the extent of reposting on Weibo. First, the information diffusion of a Weibo post created in the evening is analyzed, and a quantitative analysis is conducted on the information diffusion within a particular period of time of night, targeting user behavior characteristics during that time, to further improve the accuracy of the model. Moreover, an information diffusion model based on superposition theory is proposed with respect to the participation of key users in the information diffusion process.