【摘 要】
：
Dear editor,rnOver the past decade,“opinion dynamics”of social networks have obtained considerable attention from control theory,sociology,and physics[1-3].One of the most commonly studied models is the Hegselmann-Krause(H-K)model[4],which is boundedly co
【机 构】
：
School of Computer Science,Fudan University,Shanghai 200433,China;School of Engineering,Westlake Uni
论文部分内容阅读
Dear editor,rnOver the past decade,“opinion dynamics”of social networks have obtained considerable attention from control theory,sociology,and physics[1-3].One of the most commonly studied models is the Hegselmann-Krause(H-K)model[4],which is boundedly confident,so that each agent only up-dates his/her opinion by averaging all the opinions of neigh-bors.However,the model has been criticized for a consider-able time because limiting behaviour such as weak diversity has been pointed out in[5].Weak diversity refers to the strong convergence of the sub-clusters owing to the bounded confidence of the model when the group opinion evolves into multiple clusters,so that individuals in the sub-cluster hold only one opinion.On the contrary,strong diversity is defined as a continuous and stable distribution within the opinion space that disappears in a fully connected network and can-not be obtained in the bounded confidence model.However,strong diversity is more effective in explaining small and tiny differences of opinions among individuals in groups or sub-groups in real life.
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