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

Dongyu Zhang, Teng Guo, Hanxiao Pan, Jie Hou, Zhitao Feng, Liang Yang, Hongfei Lin, Feng Xia
{"title":"Judging a Book by Its Cover: The Effect of Facial Perception on Centrality in Social Networks","authors":"Dongyu Zhang, Teng Guo, Hanxiao Pan, Jie Hou, Zhitao Feng, Liang Yang, Hongfei Lin, Feng Xia","doi":"10.1145/3308558.3313527","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":23013,"journal":{"name":"The World Wide Web Conference","volume":"9 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The World Wide Web Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3308558.3313527","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

Abstract

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
以貌取人:社交网络中面部知觉对中心性的影响
面部表情在社交网络中很重要。人们经常根据面部线索做出性格判断。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,例如向某些个体寻求帮助、建议、约会和合作,因此它们可能与社会网络中的中心性有关。然而,尽管对中心位置的归因包括人格和行为进行了大量的研究,但很少有研究调查影响网络中心性的明显面部特征。本文通过对大学一年级学生社区社会网络形成初期的研究,探讨了基于外貌特征的感知特征是否会影响网络中心性。我们给住在同一小区的大一新生拍了照片,让他们选出连接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分来收集面部感知数据:支配性、可信度和吸引力。同时,我们提出了一个框架来发现面部外观如何影响社交网络。我们的研究结果表明,感知到的面部特征与网络中心性相关,并且它们预示着人们在不同网络中的中心性。我们的研究结果为面孔和网络中心性之间的相互作用提供了心理学证据。我们的研究结果还为心理学和社会网络技术的结合提供了见解,并强调了面部偏见在提示和传达社会特征方面的作用。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影响的人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Decoupled Smoothing on Graphs Think Outside the Dataset: Finding Fraudulent Reviews using Cross-Dataset Analysis Augmenting Knowledge Tracing by Considering Forgetting Behavior Enhancing Fashion Recommendation with Visual Compatibility Relationship Judging a Book by Its Cover: The Effect of Facial Perception on Centrality in Social Networks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1