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Information diffusion model for microblog

Most current propagation models ignore individual differences between users. To solve this problem, we extract the impact of retweeting behavior of four categories of characteristics, and propose a method to predict individual forwarding behavior using logistic regression model. Then, by integrating into the user individual differences, a behavior-prediction based information diffusion model is established. The experiments results show that the model can simulate the process of information diffusion in the real network well.