Unfolding community homophily in U.S. metropolitans via human mobility

同性恋 社会学 社会科学
作者
Xiao Huang,Yuhui Zhao,Siqin Wang,Xiao Li,Di Yang,Yu Feng,Yang Xu,Liao Zhu,Bi Yu Chen
出处
期刊:Cities [Elsevier BV]
卷期号:129: 103929-103929 被引量:10
标识
DOI:10.1016/j.cities.2022.103929
摘要

As described in the proverb “birds of a feather flock together”, the term homophily narrates the principle that stronger spatial interactions tend to be formed among locations with similar characteristics. Taking advantage of mobility networks derived from around 45 million mobile devices in the U.S. and targeting the top twenty most-populated U.S. Metropolitan Statistical Areas (MSAs), we extract human mobility structures by detecting communities formed by strong spatial links and unravel the homophily effect at the community level using information entropy that measures the chaoticness of societal settings within communities. The results suggest that the power-law still, to a large extent, governs the travel patterns in MSAs. However, communities featured by strong human interactions can sometimes transcend geographic proximity in modern metropolitans. The entropy varies across communities, and a community can exhibit variation of homophily levels when different sociodemographic settings are investigated. Our study proves the ubiquity of the homophily phenomenon in modern metropolitans and documents its variation from different social perspectives from a mobility-oriented setting. The conceptual and analytical knowledge, as well as the results of this study, are expected to facilitate better policymaking to promote social integration in metropolitan areas. • We reveal the similarity and dissimilarity of mobility profiles in the top twenty most populated U.S. metropolitan areas. • We introduce “community entropy” to reflect the chaoticness among community members formed by strong spatial interactions. • The homophily levels vary across/within communities when different sociodemographic settings are investigated. • The results call for place-based planning and developing community initiatives for a more integrated and harmonious society.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
zheng完成签到 ,获得积分10
5秒前
yy14207发布了新的文献求助10
6秒前
duoduozs完成签到,获得积分10
6秒前
一白完成签到 ,获得积分10
6秒前
迷路凌柏完成签到 ,获得积分10
8秒前
江雁完成签到,获得积分10
8秒前
木子李完成签到 ,获得积分10
8秒前
2012csc完成签到 ,获得积分0
8秒前
英俊枫完成签到,获得积分10
10秒前
wbb完成签到 ,获得积分10
12秒前
竹叶青发布了新的文献求助10
12秒前
欢喜藏今完成签到,获得积分10
13秒前
YYYYYY完成签到,获得积分10
14秒前
18秒前
halo完成签到,获得积分10
19秒前
凌晨五点的完成签到,获得积分10
19秒前
斯文败类应助WPY1采纳,获得10
20秒前
赟yun完成签到,获得积分0
21秒前
爆米花应助222采纳,获得10
22秒前
一氧化二氢完成签到,获得积分10
22秒前
舒仲完成签到,获得积分10
23秒前
青柠完成签到 ,获得积分10
23秒前
24秒前
25秒前
木木完成签到,获得积分10
27秒前
丹丹完成签到 ,获得积分10
27秒前
贪玩路灯完成签到 ,获得积分10
28秒前
Hunter完成签到,获得积分10
29秒前
叶落无痕、完成签到,获得积分10
30秒前
大叉烧完成签到,获得积分10
30秒前
标致玉米发布了新的文献求助10
30秒前
Ivy完成签到,获得积分10
32秒前
33秒前
傲娇的云朵完成签到,获得积分10
33秒前
starwan完成签到 ,获得积分10
34秒前
KH发布了新的文献求助10
35秒前
唠叨的白曼完成签到,获得积分10
35秒前
36秒前
文艺水风完成签到 ,获得积分10
39秒前
糊涂的服饰完成签到,获得积分10
39秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
Immigrant Incorporation in East Asian Democracies 600
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3968578
求助须知:如何正确求助?哪些是违规求助? 3513400
关于积分的说明 11167585
捐赠科研通 3248853
什么是DOI,文献DOI怎么找? 1794499
邀请新用户注册赠送积分活动 875131
科研通“疑难数据库(出版商)”最低求助积分说明 804664