Research On Bounded Confidence Opinion Dynamics In Social Network Environment

In real life,the change and consensus of views or decisions is a very important aspect of social behavioral dynamics research.The research of the evolution and formation process of viewpoints contributes to reveal the essential characteristics of various viewpoints of public opinions,which is of great significance for the further explanation and understanding of the evolution and generation of human complex swarm behavior.The change of opinion is mainly influenced by two aspects.One is the self-factor,namely the degree of the individual's insistence on the viewpoint of oneself;The other is the impact of the trust collection or other user views in the reference collection.When studying the evolution of the user's perspective,it becomes critical to how to calculate trust collections and reference collections.In the past,the research on the dynamic evolution of opinions or paradoxes,the acquisition of reference collection or trust collection only remained at the conceptual stage,and no specific calculation method was given.In many social networks,there is no specific explicit trust relationship between users.Therefore,it is necessary to fully mine the user's online behavior information and explore the existence of various implicit trust relationships.Based on the explicit information of users' tags,attention and interactive behaviors in social network,this paper proposes an I-Trust model to calculate implicit Trust between users.Based on the implicit trust value,the trust collections of nodes are judged and the trust value is used as the influence on the user's opinions.On the basis of the classical bounded trust model,a model of view evolution on trust between users in a social network environment was established.User's point of view of the next moment is not a trust set will be completely using trust set point,but by the effect of themselves and others.Therefore,the individual's persistence and trust value are used as a measure of self,and the trust collections and reference collections are used as influence degree of the user view the value of the next moment,which can conclude that the user view update equations.And through simulation experiments,contrast analysis of the user view with the change of the various factors and the evolution of the trend to manage users in the social network point of view put forward the guiding strategy.The experimental results show that the evolution of the user's viewpoint is related to the user's trust collections,reference collections,and the degree of perseverance of the individual point of view.When the node's self-confidence is considered,the higher the degree of individual adherence,the less likely it is to form a consistent view.When the trust set is large,it is easier to form a consistent view.This paper proposes a guiding strategy for managing users' opinions in the social network and network public opinion.