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信任、信息流与社会合作的协同演化:基于动态博弈模型的网络稳定性研究

The collaborative evolution of trust, information flow, and social cooperation: a study on network stability based on dynamic game models.

作者信息

Weiqi Liu, Jun Yan, Jieyu Xiao

机构信息

School of Economics, Shanxi University of Financial and Economics, Taiyuan, 030012, China.

School of Public Finance & Economics, Shanxi University of Financial and Economics, Taiyuan, 030012, China.

出版信息

Sci Rep. 2025 Aug 19;15(1):30376. doi: 10.1038/s41598-025-13355-y.

Abstract

Human society is organized around individual actors. When making behavioral choices, individuals engage in rational deductions based on their environment and select the 'most appropriate' actions. This paper introduces a social relations network information system that enables behavior nodes and their environments to observe behaviors and assign scores accordingly. The findings of this study indicate that: (1) during the process of network formation, nodes exhibit a tendency toward pro-social cooperative behavior; (2) nodes exhibit different behavioral patterns during different processes of network formation; and (3) ordinary nodes that do not actively participate in interactions also contribute to the transmission of social network information, demonstrating that every social individual serves as a node for information dissemination.

摘要

人类社会是围绕个体行为者组织起来的。在做出行为选择时,个体基于自身所处环境进行理性推理,并选择“最合适”的行动。本文介绍了一种社会关系网络信息系统,该系统能使行为节点及其所处环境观察行为并据此给出评分。本研究结果表明:(1)在网络形成过程中,节点呈现出亲社会合作行为的倾向;(2)节点在不同的网络形成过程中表现出不同的行为模式;(3)未积极参与互动的普通节点也有助于社交网络信息的传播,这表明每个社会个体都是信息传播的节点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/24a7/12365296/b166a972cc32/41598_2025_13355_Fig1_HTML.jpg

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