混合信任与不信任关系中观点分布的规模化案例研究
物理与社会
2024-04-22 v2
摘要
本文的仿真基于观点动力学理论，该理论在人类关系中同时包含观点A及其反面观点B。已确认共识建立的各个方面取决于信任系数与不信任系数之比。本研究中，信任与不信任之比在约55%附近呈现出类似相变的变化趋势，但我们希望验证在大规模案例中是否能确认同一现象。在先前的案例研究中，从N=300到N=1600均观察到该趋势，本文将讨论N=10000与N=3000的情形。通过在社会尺度上验证该现象的范围，我们拟考虑用于共识建立的仿真要素，例如对线上与线下观点形成中话题敏感性的考量。
引用
@article{arxiv.2310.19850,
title = {Massive Case Study of Opinion Distribution in a Relationship with Mixed Trust and Distrust},
author = {Yasuko Kawahata},
journal= {arXiv preprint arXiv:2310.19850},
year = {2024}
}
备注
Revised Paper: Theory of opinion distribution in human relations where trust and distrust mixed (2020) This paper is partially an attempt to utilize "Generative AI" and was written with educational intent. There are currently no plans for it to become a peer-reviewed paper