An immune system-inspired information diffusion model

Though there are a lot of common characteristics between epidemic spreading and information diffusion, but it has a significant difference in nature. Individual spreading behavior is closely related to user activity, user neighbor and network features. At present, most of research on information diffusion is based on epidemic spreading where the probability that the user is infected by the information is regarded as a constant, which has a less ability to reduce the information diffusion in the real network. In this paper, we analyze the process of immune response and propose an information diffusion model based on immune mechanism, where the information tolerance, social reinforcement and memory enhancement is taken into account. Experiments show that the model can more accurately describe the process of information diffusion and reflect the trend of information diffusion, as such helps to better describe the actual diffusion process.