在模块化网络上具有冲突偏好的选民类动态
Filippo Zimmaro1,2,3, Pierluigi Contucci2, János Kertész3
1Department of Computer Science, University of Pisa, 56126 Pisa, Italy.
Entropy (Basel, Switzerland)
|June 28, 2023
概括
社会偏见和网络结构会影响人们的观点. 模块化网络放大了两极分化,而分离影响了共识,影响了基于代理的模型中的意见动态.
科学领域:
- 社会动态 社会动态
- 网络科学 网络科学
- 形成一种意见的形成.
背景情况:
- 个人观点是由社会协调和个人偏见所塑造的.
- 了解网络拓与这些因素之间的相互作用对于意见动态至关重要.
研究的目的:
- 为了研究一个扩展的选民模型,结合两个具有相反偏好的群体.
- 分析模块化网络结构的影响,模拟认识泡,意见共识和两极分化.
主要方法:
- 利用近似分析方法和计算机模拟.
- 采用模块化图形结构,其中有两个社区反映偏差分配.
- 将平均场近似与对近似进行比较,并在真实网络上验证.
主要成果:
- 系统可以达到共识或两极化状态,这取决于网络和偏见的强度.
- 模块化结构通常会增加极化及其参数范围.
- 高偏见强度差异导致取决于隔离人口结构的意见强加.
结论:
- 网络模块化在很大程度上影响了观点的两极分化和共识.
- 当偏见强度显著不同时,人口隔离在意见动态中起着关键作用.
- 该研究提供了对结构化社交网络内意见形成的见解.
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