This paper uses clear methods and steps to simulate views in social networks to reach consensus which is conducive to public opinion management and guidance and has important theoretical and practical significance in promoting the rational governance of online public opinion.In order to explore the dynamic evolution process of social network opinion consensus,the opinion dynamic evolution model is established based on the composite factors of opinion leaders and supporters from the perspective of opinion dynamics;on this basis,the consensus reaching model of minimum adjustment strategy is proposed;finally,the validity of the model is verified through simulation experiments and the feasibility of the model is verified via case analysis.This study effectively simulates the dynamic process of reaching consensus on public opinion on social network and forms effective strategies to guide public opinion.
consensus reachedminimum adjustment strategyopinion dynamicsnetwork public opiniondynamic evolution
维普
万方数据
