二部图
有界函数
趋同(经济学)
一致性
序列(生物学)
计算机科学
数学
表达式(计算机科学)
数理经济学
动力学(音乐)
理论计算机科学
复杂网络
私营部门
社会动力
舆论
链接(几何体)
社交网络(社会语言学)
零(语言学)
现象
离散数学
计量经济学
过渡(遗传学)
预测(人工智能)
网络拓扑
作者
Yutong Christina Wang,Yuzhi Kong,Hongfeng Hu,Z Wang,Xiaoqun Wu
出处
期刊:Chaos
[American Institute of Physics]
日期:2026-03-01
卷期号:36 (3)
摘要
Opinion evolution in social networks represents a complex dynamical process, particularly when accounting for the interplay between expressed and private opinions-a dynamic that captures the tension between social conformity and individual authenticity. In this paper, we examine the evolution of these two opinion types in signed networks using the expressed and private opinion (EPO) model, in which each individual carries distinct expressed and private opinions. By applying the lifting technique to the EPO model, we rigorously address the influence of negative edges, while the path-dependence theory is employed to model transitions between consecutive topics. Through analytical study, we derive sufficient conditions to eliminate discrepancies between expressed and private opinions across a sequence of topics, ensuring convergence to zero consensus, bipartite consensus, or bounded opinion stability. Notably, iterative topic discussions lead to asymptotic alignment between private and expressed opinions, with all trajectories confined within a well-defined range. Furthermore, for structurally unbalanced networks, we establish a sufficient condition guaranteeing bipartite consensus. Numerical simulations validate all theoretical findings.
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