在时间的Deffuant模型中,通信爆发增加了意见的多样性
Fatemeh Zarei1,2, Yerali Gandica3, Luis E C Rocha4,5
1Department of Economics, Ghent University, Ghent, Belgium.
Scientific reports
|January 26, 2024
概括
社交网络结构和互动时间影响了意见集群. 爆发性,或不规则的交互模式,可以防止共识,减少两极分化,促进意见多样性,即使在低同行容忍.
科学领域:
- 社会学 社会学 社会学
- 计算社会科学 计算社会科学
- 网络科学 网络科学
背景情况:
- 人类社会建立在社交网络上,个人在社交网络上交换信息和调整意见.
- 社会动态的关键问题包括理解网络结构是否导致意见两极分化或共识,以及如何减轻两极分化,特别是在社交媒体上.
研究的目的:
- 调查社会互动时间的作用,除了网络结构,在塑造意见集群.
- 探索社会互动中的爆发性如何影响论动态和共识或两极分化的出现.
主要方法:
- 开发Deffuant意见模型的时间版本,以模拟与时间模式的双对社会互动.
- 分析网络集群和爆发如何影响多党派社会中的意见自我组织.
主要成果:
- 网络集群和爆发性促进了地方意见的加强,导致自我组织成为多党派社会.
- 爆发本身就足以通过加强当地意见,增加意见多样性来防止共识和两极分化.
- 在集群网络中,意见多样性随着突发性增加而增加,即使个人容忍度较低,更喜欢类似的同龄人.
结论:
- 极化可能在在线社交网络中更为普遍,因为与线下网络相比,社交聚类较低,尽管在线爆发.
- 增加爆发激活时间的变量 (例如,减少社交媒体活动) 可以减少两极分化.
- 通过增加社会冗余性 (例如,网络三角形) 来增强在线社交网络可能会促进更多的意见多样性.
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