Dynamical Modeling Of Information Diffusion On Social Media

Along with the continuous updating of Social media Networks, the Social mediainformation spreading has shown more new characteristics that are complicated. With thetraditional spreading theory and the simple model, it’s difficult to describe the network today.a new Susceptible-Exposed-Infected-Removed (SEIR) dynamic model accords with Socialmedia information spreading based on the Social media information spreading characteristicsand the development of the infectious disease dynamics model. First establish a spreadingmechanism based on the model of the dynamics spreading, then build a netizendecision-making model in E state according to netizen’s autonomy in the aspect of socialpsychology, finally do the simulation experiment on the basis of scale-free network model,combining netizen’s decision-making model with SEIR epidemic model. Simulation resultsshows that using the improved SEIR model can describe the characteristics of the real Socialmedia information spreading more accurately.This paper also studies the immunization strategy in social media networks. A improvedsynthesis immunization strategy is proposed by analysing and comparing the advantages anddisadvantages of various immunization strategies.This immunization strategy considers theimportant of node degree in the classic synthesis immunization strategy.Based on the idealsocial network,the improved synthesis immunization strategy applied to the SEIR model isutilized in the simulation for the evolution process of rumor spreading before and afterimmunization. Computer simulation results show that the improved synthesis immunizationstrategy has better immune effect on rumor spreading in the social media networks.