SEIR-Based Model For The Information Spreading Over SNS

SNS (Social Networking Services) has derived a lot of benefit from the development of science and technology. With high connectivity, wide coverage and great convenience to information spreading, SNS has become one of the most important information carriers, which can meet the non-contact social intercourse need of people very well. In China, there are nearly half a billion users using social networking sites, such as Weibo, Renren, etc. People can acquire information freely over SNS, which makes the spreading of false information disastrous. Therefore it is of great practical significance to understand the mechanism and process of the information spreading on SNS.There are a lot of similarities between transmission mechanism and spread mechanism of infectious diseases. So, based on the method of Graph theory and Infectious disease model, the main content of the study mainly includes:1. The mechanism of information spreading is analyzed and the corresponding kinetic model is obtained with the help of the SEIR model of the infectious disease. In the proposed model, exposed node is induced into the SIR model, which can describe the process of the information spreading over SNS.2. The method of the differential equation is adopted to build the equation set of dynamic evolution for information spreading model over SNS.3. The effects of several SNS parameters on the speed and scale of information spreading are analyzed and simulated with Matlab. Also carried out the comparison between SIR model and SEIR model to show the effect of the time delay. The SEIR model proposed is much suitable than others for describing the information spreading over SNS by the simulation results.