Effects of network topology and trait distribution on collective decision making
Effects of network topology and trait distribution on collective decision making
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DOI：
10.3934/math.2023619
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发表时间：
2022-08
期刊：
影响因子：
2.2
通讯作者：
Pengyu Liu;Jie Jian
中科院分区：
文献类型：
--
作者：
Pengyu Liu;Jie Jian
个人层面的互动影响着社会或经济进程，例如传染病的传播、股票价格的波动和公众舆论的转变。随着互联网和社交媒体的发展，了解不同个体的互动如何影响集体结果比以往任何时候都更加重要。代表个人影响关系的社会网络在理解个人层面的互动与社会或经济结果之间的联系方面发挥着关键作用。最近的研究揭示了社会网络的拓扑结构如何影响社区中的集体决策。此外，个人的特征决定了他们如何处理接收到的信息来做决定，也改变了社区的集体决策。在这项工作中，我们开发了随机过程来生成具有两个简单特征的个人网络：成为一个随大流者和成为一个反随大流者。本文提出了一种新的特征属性网络的确定性选民模型，在该模型中，个体根据其特征遵循简单的确定性规则进行二元选择。我们表明，简单的确定性规则可以驱动不可预测的波动，最终成为周期性的集体决策。我们研究了网络拓扑结构和特征分布对具有周期性的集体决策序列首次通过时间的影响。
Individual-level interactions shape societal or economic processes, such as infectious diseases spreading, stock prices fluctuating and public opinion shifting. Understanding how the interaction of different individuals affects collective outcomes is more important than ever, as the internet and social media develop. Social networks representing individuals' influence relations play a key role in understanding the connections between individual-level interactions and societal or economic outcomes. Recent research has revealed how the topology of a social network affects collective decision-making in a community. Furthermore, the traits of individuals that determine how they process received information for making decisions also change a community's collective decisions. In this work, we develop stochastic processes to generate networks of individuals with two simple traits: Being a conformist and being an anticonformist. We introduce a novel deterministic voter model for a trait-attributed network, where the individuals make binary choices following simple deterministic rules based on their traits. We show that the simple deterministic rules can drive unpredictable fluctuations of collective decisions which eventually become periodic. We study the effects of network topology and trait distribution on the first passage time for a sequence of collective decisions showing periodicity.