IEEE Trans Cybern. 2022 Jul;52(7):7017-7028. doi: 10.1109/TCYB.2020.3043635. Epub 2022 Jul 4.
Inspired by the continuous opinion and discrete action (CODA) model, bounded confidence and social networks, the bounded confidence evolution of opinions and actions in social networks is investigated and a social network opinions and actions evolutions (SNOAEs) model is proposed. In the SNOAE model, it is assumed that each agent has a CODA for a certain issue. Agents' opinions are private and invisible, that is, an individual agent only knows its own opinion and cannot obtain other agents' opinions unless there is a social network connection edge that allows their communication; agents' actions are public and visible to all agents and impact other agents' actions. Opinions and actions evolve in a directed social network. In the limitation of the bounded confidence, other agents' actions or agents' opinions noticed or obtained by network communication, respectively, are used by agents to update their opinions. Based on the SNOAE model, the evolution of the opinions and actions with bounded confidence is investigated in social networks both theoretically and experimentally with a detailed simulation analysis. Theoretical research results show that discrete actions can attract agents who trust the discrete action, and make agents to express extreme opinions. Simulation experiments results show that social network connection probability, bounded confidence, and the opinion threshold of action choice parameters have strong impacts on the evolution of opinions and actions. However, the number of agents in the social network has no obvious influence on the evolution of opinions and actions.
受连续意见和离散行动（CODA）模型、有界置信度和社交网络的启发，研究了社交网络中意见和行动的有界置信度演变，并提出了社交网络意见和行动演变（SNOAE）模型。在 SNOAE 模型中，假设每个代理对某个问题都有一个 CODA。代理的意见是私人的和不可见的，也就是说，一个个体代理只知道自己的意见，除非存在允许他们通信的社交网络连接边，否则无法获得其他代理的意见；代理的行动是公开的，所有代理都可见，并影响其他代理的行动。意见和行动在有向社交网络中演变。在有界置信度的限制下，其他代理的行动或代理通过网络通信注意到或获得的意见，分别被代理用来更新他们的意见。基于 SNOAE 模型，通过详细的模拟分析，从理论和实验两个方面研究了社交网络中有界置信度下的意见和行动的演变。理论研究结果表明，离散行动可以吸引信任离散行动的代理，并使代理表达极端意见。仿真实验结果表明，社交网络连接概率、有界置信度和行动选择参数的意见阈值对意见和行动的演变有很强的影响。然而，社交网络中的代理数量对意见和行动的演变没有明显影响。
