Research On The Communication Mechanism Of Disagreed Information In Online Social Networks

With the growing maturity of mobile communication and Internet technology,new social network applications based on interactive services have received unprecedented opportunities for development.Social networking tools like WeChat and micro-blog have become the main platform for people to spread,share information,and communicate with others.Therefore,studying the propagation rule of information in social networks will have a good application prospect.However the behavior of users in the network and the characteristics of the network make the process of information transmission more complex.In view of this,a new information propagation model is established for the divergent information in the network based on the ideas of cellular automaton,dynamical system theory,complex network theory and other disciplines.It introduces the information approval factor,the information opposition factor,and the excitation factor.This paper carried out modeling research and simulation experiments,the results show that the excitation factor plays a decisive role in the speed and scope of information transmission,and the information approval factor and information opposition factor are closely related to the propagation results.Secondly,the size and density of the network and the selection of the initial propagation nodes have a subtle influence on the range,speed and threshold of propagation.The research on the mechanism of information divergence in online social network can deepen the understanding of the power of information transmission,enrich the complex network theory,and play a positive role in exploring the rule of information transmission and evolution in social networks.