社交网络和选民投票率
Georgia Kernell1, P J Lamberson2
1Departments of Communication and Political Science, UCLA, Los Angeles, CA, USA.
Royal Society open science
|October 20, 2023
概括
这项研究通过将社交网络与投票计算相结合,模拟选民投票率. 它揭示了社交联系如何影响表达投票的好处,导致多个平衡取决于网络结构.
科学领域:
- 政治科学 政治科学是指政治学.
- 社会学 社会学 社会学
- 网络理论 网络理论
背景情况:
- 投票计算 (Riker和Ordeshook,1968) 为理解选民投票率提供了一个基本框架.
- 现有的模型往往忽视了社会联系对个人投票决定的重大影响.
- 投票率的难题,包括收入差异和预测困难,仍然没有完全解释.
研究的目的:
- 开发一种新的选民投票率模型,该模型包含社交网络结构.
- 分析社会联系如何影响个人从投票中获得的表达利益.
- 探索网络结构对多次投票平衡的影响.
主要方法:
- 开发一个数学模型,将Riker和Ordeshook的投票微积分与社交网络分析相结合.
- 分析个人投票决策如何受到网络内的社会联系人的行为影响.
- 检查网络结构与多重平衡的出现之间的关系.
主要成果:
- 该模型表明,社交网络结构显著影响选民投票率平衡.
- 投票的个人表达效益被证明取决于社会联系的行动.
- 选民投票率可能存在多种平衡,取决于社交网络的配置.
结论:
- 社交网络结构是投票率模式和平衡的关键决定因素.
- 该模型为政治学中长期存在的难题提供了新的解释,例如与收入相关的投票率差异和选民惯性.
- 了解网络中的社会影响是预测和潜在影响选民参与的关键.
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