Modeling, analysis, and manipulation of co-evolution between appraisal dynamics and opinion dynamics

IF 4.8 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Fangzhou Liu , Shaoxuan Cui , Ge Chen , Wenjun Mei , Huijun Gao
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引用次数: 0

Abstract

The evolution of interpersonal relationships to structural balance involves various complex social psychological mechanics, including interpersonal influences, opinion dynamics, person–person homophily, person–entity homophily, etc. In this paper, we propose a discrete-time nonlinear dynamical system that characterizes the complex interplay among all the above mechanisms. Specifically, interpersonal appraisals are updated based on person–person homophily and person–opinion homophily; the social influence matrix is built according to the interpersonal appraisals; and the opinion dynamics evolve on the social influence network. Via theoretical analysis, we characterize the finite-time behavior and the equilibrium set of the model. In addition, we establish the equivalence among social balance, modulus consensus, convergence, and the non-vanishing appraisal condition. Moreover, we provide sufficient conditions such that the current faction formation in social balance is changed by introducing additional opinion dimensions, i.e., by setting new agendas. Numerical examples show the effectiveness of such agenda-setting strategy and indicate that sufficiently extreme topics are required in order to successfully conduct such manipulation.

对评估动态和舆论动态之间的共同演变进行建模、分析和操作
人际关系向结构平衡的演变涉及各种复杂的社会心理机制,包括人际影响、舆论动态、人-人同质性、人-实体同质性等。在本文中,我们提出了一个离散时间非线性动力系统,该系统描述了上述所有机制之间复杂的相互作用。具体来说,人际评价是基于人-人同质性和人-观点同质性更新的;社会影响矩阵是根据人际评价建立的;而观点动态则是在社会影响网络上演化的。通过理论分析,我们描述了模型的有限时间行为和均衡集。此外,我们还建立了社会平衡、模量共识、收敛和非消失评价条件之间的等价关系。此外,我们还提供了充分条件,即通过引入额外的意见维度(即通过设置新议程)来改变社会平衡中当前的派系形成。数字示例显示了这种议程设置策略的有效性,并表明要成功进行这种操纵,需要足够极端的话题。
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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来源期刊
Automatica
Automatica 工程技术-工程:电子与电气
CiteScore
10.70
自引率
7.80%
发文量
617
审稿时长
5 months
期刊介绍: Automatica is a leading archival publication in the field of systems and control. The field encompasses today a broad set of areas and topics, and is thriving not only within itself but also in terms of its impact on other fields, such as communications, computers, biology, energy and economics. Since its inception in 1963, Automatica has kept abreast with the evolution of the field over the years, and has emerged as a leading publication driving the trends in the field. After being founded in 1963, Automatica became a journal of the International Federation of Automatic Control (IFAC) in 1969. It features a characteristic blend of theoretical and applied papers of archival, lasting value, reporting cutting edge research results by authors across the globe. It features articles in distinct categories, including regular, brief and survey papers, technical communiqués, correspondence items, as well as reviews on published books of interest to the readership. It occasionally publishes special issues on emerging new topics or established mature topics of interest to a broad audience. Automatica solicits original high-quality contributions in all the categories listed above, and in all areas of systems and control interpreted in a broad sense and evolving constantly. They may be submitted directly to a subject editor or to the Editor-in-Chief if not sure about the subject area. Editorial procedures in place assure careful, fair, and prompt handling of all submitted articles. Accepted papers appear in the journal in the shortest time feasible given production time constraints.
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