论文标题

根据封面来判断一本书:面部感知对社交网络中心性的影响

Judging a Book by Its Cover: The Effect of Facial Perception on Centrality in Social Networks

论文作者

Zhang, Dongyu, Guo, Teng, Pan, Hanxiao, Hou, Jie, Feng, Zhitao, Yang, Liang, Lin, Hongfei, Xia, Feng

论文摘要

面部外观在社交网络中很重要。个人经常通过面部线索做出特质判断。尽管这些基于面部的印象缺乏确定有效性的证据,但它们至关重要,因为它们可能与基于人类网络的社会行为有关,例如寻求某些人寻求帮助,建议,约会和合作,因此它们可能与社交网络中的中心地位有关。但是,尽管对中心位置的归因(包括人格和行为)进行了大量研究,但几乎没有工作没有研究影响网络中心性的明显面部特征。在本文中,我们研究了基于面部外观的感知性状是否通过探索一年级大学住宅区社交网络形成的初始阶段来影响网络中心性。我们拍摄了居住在同一住宅区的新生的参与者的照片,我们要求他们提名与不同网络链接的社区成员。然后,我们通过要求其他参与者对面部图像进行三个主要属性的评价来收集面部感知数据:优势,可信度和吸引力。同时,我们提出了一个框架,以发现面部外观如何影响社交网络。我们的结果表明,感知到的面部特征与网络中心性相关,并且它们表明可以预测不同网络中人们的中心性。我们的发现提供了有关面部与网络中心性之间相互作用的心理证据。我们的发现还为心理和社交网络技术的结合提供了见解,它们突出了面部偏见在提示和信号社会特征中的功能。据我们所知,我们是第一个探索面部感知对社交网络中心性的影响的人。

Facial appearance matters in social networks. Individuals frequently make trait judgments from facial clues. Although these face-based impressions lack the evidence to determine validity, they are of vital importance, because they may relate to human network-based social behavior, such as seeking certain individuals for help, advice, dating, and cooperation, and thus they may relate to centrality in social networks. However, little to no work has investigated the apparent facial traits that influence network centrality, despite the large amount of research on attributions of the central position including personality and behavior. In this paper, we examine whether perceived traits based on facial appearance affect network centrality by exploring the initial stage of social network formation in a first-year college residential area. We took face photos of participants who are freshmen living in the same residential area, and we asked them to nominate community members linking to different networks. We then collected facial perception data by requiring other participants to rate facial images for three main attributions: dominance, trustworthiness, and attractiveness. Meanwhile, we proposed a framework to discover how facial appearance affects social networks. Our results revealed that perceived facial traits were correlated with the network centrality and that they were indicative to predict the centrality of people in different networks. Our findings provide psychological evidence regarding the interaction between faces and network centrality. Our findings also offer insights in to a combination of psychological and social network techniques, and they highlight the function of facial bias in cuing and signaling social traits. To the best of our knowledge, we are the first to explore the influence of facial perception on centrality in social networks.

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