Research On Social Network Information Dissemination Model Based On Group Perspective

With the development of the Internet,the network life,especially the social network has been fully integrated into the real life,become a part of life.The Internet has allowed us to move away from the limitations of the geographical space,the social network has greatly expanded our network of relationships,making it easier and easier for us to communicate with others and get information.However,social networks changing our behavior have also produced many negative effects.Due to the characteristics of social network,the flow of mass information quickly in social networks,which spread a lot of bad information will cause harm to society,causing panic,and even cause social unrest.To explore the law of social network information dissemination,and to grasp the characteristics of people's communication behavior,in essence,is to study of the influencing factors of people's communication behavior.The human nature makes it impossible for us to be independent from the group,even in a social network that can reflect real relationships.The group is the basis of individual existence and development,and all the activities of human beings are affected by various groups.In this paper,as an important entry point for the study of the information dissemination behavior in the social network,the group factors are explored based on the group perspective.The introduction of population factors in the propagation model based on the original,in view of the influence of the three factors of information dissemination,information inquiry,network topology characteristics,the influence of individual behavior and individual variation of the transmission effect of point of view,and using multi agent simulation software to simulate propagation process and analyze the conclusion.Aiming at the phenomenon of multi network convergence in reality and the diffidence of information dissemination process between the double layer network topology and the single network topology,this paper construct scale-free network topology and simulate the process of information propagation.The experiments show that the individual network coincidence ratio,authority node distribution and other factors on the network information dissemination will produce the important effect.