通过封面判断一本书：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
摘要：
在社交网络中，容貌很重要。人们经常根据面部线索做出特征判断。虽然这些基于面部的印象缺乏证据来确定有效性，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，例如寻求某些人的帮助，建议，约会和合作，因此它们可能与社交网络中的中心性有关。然而，几乎没有工作已经调查了明显的面部特征，影响网络中心性，尽管有大量的研究，包括个性和行为的中心位置的归因。在本文中，我们研究是否感知特征的基础上，面部外观影响网络中心性，探索社会网络形成的初始阶段，在一年级的大学住宅区。我们拍摄了居住在同一住宅区的新生参与者的脸部照片，并要求他们提名链接到不同网络的社区成员。然后，我们通过要求其他参与者对面部图像的三个主要属性进行评级来收集面部感知数据：支配力，可信度和吸引力。同时，我们提出了一个框架，以发现如何面部外观影响社交网络。我们的研究结果表明，感知的面部特征与网络中心性相关，并且它们对预测不同网络中的人的中心性具有指示性。我们的研究结果提供了关于面孔和网络中心性之间相互作用的心理学证据。我们的研究结果还为心理和社会网络技术的结合提供了见解，他们强调了面部偏见在提示和信号社会特征中的作用。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。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
