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Graph-Theoretic Analysis of Belief System Dynamics under Logic Constraints

机译:逻辑约束下信念系统动力学的图论分析

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摘要

Opinion formation cannot be modeled solely as an ideological deduction from a set of principles; rather, repeated social interactions and logic constraints among statements are consequential in the construct of belief systems. We address three basic questions in the analysis of social opinion dynamics: (i) Will a belief system converge? (ii) How long does it take to converge? (iii) Where does it converge? We provide graph-theoretic answers to these questions for a model of opinion dynamics of a belief system with logic constraints. Our results make plain the implicit dependence of the convergence properties of a belief system on the underlying social network and on the set of logic constraints that relate beliefs on different statements. Moreover, we provide an explicit analysis of a variety of commonly used large-scale network models.
机译:意见形成不能仅仅被建模为从一系列原则中的意识形态推论。相反,陈述之间反复的社会互动和逻辑约束在信仰体系的构建中是必然的。在分析社会舆论动态时,我们要解决三个基本问题:(i)信念系统会收敛吗? (ii)融合需要多长时间? (iii)它在哪里收敛?我们提供这些问题的图形理论答案,以建立具有逻辑约束的信念系统的观点动力学模型。我们的结果清楚地表明了信念系统的收敛属性对底层社交网络以及与将信念关联到不同陈述的逻辑约束集合的隐式依赖。此外,我们对各种常用的大型网络模型进行了明确的分析。

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