Department of Psychology, University of Illinois at Chicago, Chicago, IL 60607;
Department of Computer Science, Stanford University, Stanford, CA 94305.
Proc Natl Acad Sci U S A. 2017 Sep 12;114(37):9843-9847. doi: 10.1073/pnas.1702155114. Epub 2017 Aug 29.
Individuals benefit from occupying central roles in social networks, but little is known about the psychological traits that predict centrality. Across four college freshman dorms ( = 193), we characterized individuals with a battery of personality questionnaires and also asked them to nominate dorm members with whom they had different types of relationships. This revealed several social networks within dorm communities with differing characteristics. In particular, additional data showed that networks varied in the degree to which nominations depend on () trust and () shared fun and excitement. Networks more dependent upon trust were further defined by fewer connections than those more dependent on fun. Crucially, network and personality features interacted to predict individuals' centrality: people high in well-being (i.e., life satisfaction and positive emotion) were central to networks characterized by fun, whereas people high in empathy were central to networks characterized by trust. Together, these findings provide network-based corroboration of psychological evidence that well-being is socially attractive, whereas empathy supports close relationships. More broadly, these data highlight how an individual's personality relates to the roles that they play in sustaining their community.
个体从占据社会网络的中心位置中受益,但人们对于预测中心性的心理特征知之甚少。在四个大学新生宿舍(=193)中,我们通过一系列人格问卷来描述个体,并要求他们提名与他们有不同类型关系的宿舍成员。这揭示了宿舍社区内具有不同特征的几个社交网络。特别是,额外的数据表明,提名取决于()信任和()共同乐趣和兴奋的程度,从而导致网络有所不同。与依赖乐趣的网络相比,依赖信任的网络连接较少。至关重要的是,网络和人格特征相互作用以预测个体的中心性:幸福感高(即生活满意度和积极情绪)的人是充满乐趣的网络的中心,而同理心高的人是信任网络的中心。总之,这些发现为幸福感具有社交吸引力,而同理心支持亲密关系的心理证据提供了基于网络的佐证。更广泛地说,这些数据突出了一个人的个性如何与其在维持社区中所扮演的角色相关。