接收-接受-样本模型中的意见极化

网络规模与信息接收频率对社会网络极化的影响

Impact of the Network Size and Frequency of Information Receipt on Polarization in Social Networks

本文将观点形成模型重塑为动力系统，研究信息接收频率和网络规模对极化的影响，提出极化数及其临界值，揭示更短时间间隔和更大网络会加剧个体极化倾向。

Max-Plus Opinion Dynamics With Temporal Confidence

Often in the setting of human-based interactions, the existence of a temporal hierarchy of information plays an important role in diffusion and opinion dynamics within communities. For example at the individual agent level, more recently acquired information may exert greater influence during decision-making processes. To facilitate further exploration of this effect, we introduce an efficient method for modelling temporally asynchronous opinion updates, where the timing of updates depends on the timing of incoming opinion states received from neighbours. The framework enables the introduction…

社会网络中由认知失调避免驱动的意见极化

Opinion polarisation in social networks driven by cognitive dissonance avoidance

本文开发了一个基于智能体的网络模型，赋予个体内部信念系统以避免认知失调，发现即使在初始完全均匀的网络中也会导致碎片化和极化，并通过微调“失调惩罚”和“三元闭包亲和性”两参数揭示了多样的社区结构。

基于认知基础且包含确认偏见的观点动力学的平均场分析

Mean-field analysis for cognitively-grounded opinion dynamics with confirmation bias

本文采用平均场方法分析包含确认偏见的说服性论据模型，简化群体论据交换过程，揭示了确认偏见如何引发从共识到极化的转变，并验证了平均场预测与基于智能体模拟的兼容性。

Rationalizing systematic discrepancies between election outcomes and opinion polls

The Bradley effect concerns the discrepancy between opinion polls and actual election outcomes that emerges when candidates do not exhibit ideological, sexual or racial mainstream features. This effect was first observed during the 1982 election for the Governor of California that resulted in a significant loss for the black Democratic candidate, Tom Bradley, despite him being ahead in polls. It has been argued that poll respondents may tend to mask their true political preference in favour of what is generally considered more socially acceptable. We propose an exactly solvable statistical mec…

异构通信中的意见动态模拟

Simulating Opinion Dynamics in Heterogeneous Communication

由于现有信息对我们的看法和意见至关重要，我们有兴趣了解传播良好信息的条件。本文探讨了意见动力学的多代理人为基础的模拟时，代理人得到不同来源的信息。实施的方案包括三个主要的信息采集流，不同的内容和感知的可靠性的消息传播。代理人的内部意见通过访问信息源之一，即媒体和专家，或通过相互交换信息来更新。他们还被赋予了接受、拒绝或部分考虑所获得信息的认知机制。我们期望，对等通信和可靠的信息源都能够减少偏见的看法，并抑制信息欺骗，可能是由媒体所执行的广告设置理论。在本文中，在简要介绍了假设和模型之后，将详细说明模拟设计，并将针对假设讨论结果。最后，对今后的研究提出了一些思考和设想。