The Spread of Rumors and Positive Energy in Social Network

Abstract

On the basis of prior studies, this paper modifies the parameters of the information propagation process under SIR model, and analyses the impact of various parameters of the information propagation process. Firstly, we add weight and threshold of nodes in the SIR model. Moreover, the weight (activity) of the whole network is added. Then, we analyzed the impact of the weight of nodes and the whole network based on the complex network model. Furthermore, we keep on studying the characteristics and propagation process of the information in the social network. At last, we classified the information into rumors, normal information and positive energy. According to the information category, we run simulation experiment to analyze the propagation results of different kinds of information. The simulation results indicate that the information propagation process can be controlled by changing the parameters and weights at an appropriate time. Finally, some suggestions and ideas are suggested.