在一个大规模的社交网络实验中,预防疾病威胁到社会凝聚力
Hendrik Nunner1, Vincent Buskens2,3, Rense Corten2,3
1Institute for Multimedia and Interactive Systems (IMIS), University of Lübeck, Lübeck, Germany. hendrik.nunner@uni-luebeck.de.
Scientific reports
|December 19, 2023
概括
在健康风险期间,人们会限制社交接触,影响疾病的传播. 这项研究表明,避开行为可以防止感染,但会削弱社交网络,强调健康和社会凝聚力之间的权衡.
科学领域:
- 社会心理学 社会心理学
- 流行病学 流行病学
- 网络科学 网络科学
背景情况:
- 在健康风险期间保持社交距离会破坏社交网络并改变流行病轨迹.
- 了解回避行为对于模拟疾病传播和社会动态至关重要.
研究的目的:
- 实证测试一种基于代理的社会网络动态和疾病传播模型.
- 量化避免行为的程度,以应对感知到的健康风险.
- 调查避免,网络结构和感染传播之间的反循环.
主要方法:
- 进行了一项大规模 (N=2,879) 激励实验.
- 参与者因保持社交关系而得到奖励,而因感染而受到惩罚.
- 基于代理的建模原则为实验设计和分析提供了信息.
主要成果:
- 预防疾病显著影响了参与者的网络决策,超过了网络维护激励措施.
- 参与者采用复杂的避免策略,例如避免感染邻居的个人.
- 尽管感染率低,但参与者忽视了网络结构,导致社会地位恶化.
结论:
- 观察到的避开行为有效地减少了感染人数,但代价是社会凝聚力.
- 仅仅关注感染信号可能会在社交网络上产生意想不到的负面影响.
- 研究结果突出了个体健康决策和人口层面的社会结构之间的复杂相互作用.
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