扩展泰勒模型中的遏制控制

Hassan Dehghani Aghbolagh, M. Zamani, Zhiyong Chen
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引用次数: 1

摘要

在本文中,我们提出了社会网络中意见动态的泰勒模型的扩展。在有限置信模型的激励下,我们提出了一个扩展的Taylor模型,其中影响图是基于个体的置信水平构建的。此外,我们建立了该模型的结构可控性与来源对个人意见的遏制之间的联系。此外,提出了一种求置信水平最小值的算法,以保证结构的可控性和安全性。最后给出了一个算例来验证所提出的方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Containment Control in Extended Taylor Model
In this paper, we propose an extension to Taylor model of opinion dynamics in social networks. Motivated by bounded confidence models, we propose an extended Taylor model in which the influence graph is built based on the confidence levels of individuals. Furthermore, we establish a link between structural controllability of this model and containment of individuals’ opinions by the sources. In addition, an algorithm is proposed to find the minimum values of the confidence levels ensuring that structural controllability and containment can be achieved. An illustrative example is provided to verify the proposed scheme.
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