在多数幻想的图形理论上:理论结果和计算实验
Maaike Venema-Los1, Zoé Christoff1, Davide Grossi1,2
1University of Groningen, Groningen, The Netherlands.
概括
社交网络结构可以扭曲对意见受欢迎程度的看法. 即使在大型社区中,由于网络布线,个人也可能错误地看待多数意见,导致广泛传播.
科学领域:
- 社交网络分析 社交网络分析
- 意见的动态 意见的动态
- 计算社会科学 计算社会科学
背景情况:
- 在社交网络中,个人对意见受欢迎程度的看法往往是不准确的.
- 社交网络拓极大地影响了信息扭曲的类型和程度.
- 了解这些扭曲对于理解集体行为和意见形成至关重要.
研究的目的:
- 识别网络结构,使全球论分布的重大误解.
- 分析"多数幻想"现象,即当地多数与全球多数不同.
- 将发现推广到网络内的其他形式的基于意见的幻想中.
主要方法:
- 网络结构及其对信息传播的影响的理论分析.
- 计算实验以模拟各种网络类的意见动态.
- 数学建模以量化多数幻想的可能性.
主要成果:
- 没有任何网络结构可以保证大多数个人对全球多数意见的准确感知.
- 确定了特定的网络架构,这些架构更容易产生多数错觉.
- 该研究量化了个人对意见普遍性的重大误解的条件.
结论:
- 网络结构从根本上限制了全球论的准确性,即使有完美的本地信息.
- 多数幻想是社交网络连接的常见后果,影响集体理解.
- 这些发现对信息传播,社会影响和集体智力的研究有影响.
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