An Expressed and Private Opinion Model on Influence Networks

Weiguo Xia, Hong Liang
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Abstract

This paper studies the evolution of an expressed and private opinion dynamics model with asynchronous updating. It is shown that under some mild connectivity and individual activation conditions, the expressed and private opinions of all individuals in the network converge to a common value exponentially fast when the susceptibility to influence of all individuals is equal to one. A numerical example verifies the theoretical result.
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影响网络的表达和私人意见模型
本文研究了一个具有异步更新的表达意见和私人意见动态模型的演化问题。结果表明,在某些轻度连通性和个体激活条件下,当所有个体对影响的敏感性等于1时,网络中所有个体的表达意见和私人意见以指数速度收敛到一个共同值。数值算例验证了理论结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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