Feltham Eric, Forastiere Laura, Christakis Nicholas A
Human Nature Lab, New Haven, CT, USA.
Department of Sociology, Yale University, New Haven, CT, USA.
Nat Hum Behav. 2025 Jun 16. doi: 10.1038/s41562-025-02221-6.
People not only form social networks, they construct mental maps of them. We develop a sampling strategy to evaluate network cognition in 10,072 adults across 82 Honduras villages and systematically map the underlying village networks. In 17 villages, we also discern the genetic relatedness of all 1,333 residents. Observers overestimate the social interactions among kin and are 33.38 percentage points (J) more accurate in judgements of ties between non-kin (95% confidence interval: 31.27-35.49). Counterintuitively, observers had more accurate beliefs about non-kin pairs, especially when the observers were popular, middle-aged, or educated. Observers were less able to accurately judge ties across different religions or wealth. Individuals in villages that cultivate coffee, requiring coordinated effort, demonstrated greater bias to view networks as connected. Finally, more accurate respondents had better access to information that we experimentally introduced to their peers. Overall, people inflate the number of connections in their networks and exhibit varying accuracy and bias, with implications for how people affect and are affected by the social world.
人们不仅会形成社会网络,还会构建关于这些网络的心理地图。我们制定了一种抽样策略,以评估洪都拉斯82个村庄中10072名成年人的网络认知,并系统地绘制潜在的村庄网络地图。在17个村庄中,我们还识别了所有1333名居民的基因相关性。观察者高估了亲属之间的社会互动,在判断非亲属之间的关系时,其准确性高出33.38个百分点(J)(95%置信区间:31.27 - 35.49)。与直觉相反的是,观察者对非亲属对的看法更为准确,尤其是当观察者受欢迎、中年或受过教育时。观察者更难以准确判断不同宗教或财富群体之间的关系。种植咖啡需要协同努力的村庄中的个体,表现出更大的倾向,即认为网络是相互连接的。最后,更准确的受访者能更好地获取我们向其同龄人实验性引入的信息。总体而言,人们夸大了其网络中的连接数量,并表现出不同程度的准确性和偏差,这对人们如何影响社会世界以及如何受到社会世界的影响具有启示意义。