社交网络中动态信任感知的观点演化模型OA北大核心CSTPCD

The opinion evolution model plays an important role in simulating the process of dissemination and aggregation of social groups'opinions on major affairs.However,existing research usually updates the current individual's opinion based on neighbor nodes with similar opinions.In fact,individuals in social networks are more inclined to exchange opinions based on their trusted neighbor nodes.Secondly,previous studies do not consider the impact of interactions between non-neighbor nodes on the evolution of social group opinions.Moreover,current research usually updates the social network structure based on the opinion distance between individuals,without considering the influence of trust relationships between individuals on the network structure.In order to solve the above problems,this paper proposes a dynamic trust-aware opinion evolution model in social networks(DTAOE).Specifically,DTAOE first constructs the trust matrix of the social group based on the trust propagation rules.Then,based on the introduced trust degree threshold and trust matrix,DTAOE determines the trust individual set of the current individual from neighbor nodes and non-neighbor nodes,and updates the current individual's opinion based on individuals with similar opinions in the trust individual set.Finally,it dynamically adjusts the topology of the social network according to the opinion distance and trust relationship between individuals and repeats the above evolution steps until the opinions of the group reach a stable state.Through a large number of simulation experiments,the validity and rationality of the DTAOE model are verified,and the mechanism of the influence of network structure and trust relationship on opinion propagation is revealed.