重要提醒:2025.12.15 12:00-12:50期间发布的求助,下载出现了问题,现在已经修复完毕,请重新下载即可。如非文件错误,请不要进行驳回。

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]
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
1秒前
知性的幻竹完成签到,获得积分20
1秒前
畅快平蓝完成签到,获得积分10
1秒前
浮游应助Rascal采纳,获得10
1秒前
Ent_发布了新的文献求助10
1秒前
蒸馏水发布了新的文献求助10
2秒前
xnkl发布了新的文献求助20
2秒前
2秒前
哈哈哈哈完成签到,获得积分10
2秒前
无奈的平文完成签到 ,获得积分10
3秒前
大模型应助zkexuan采纳,获得10
3秒前
gouqi发布了新的文献求助20
3秒前
济南青年完成签到,获得积分10
3秒前
爆米花应助宇宙队采纳,获得10
3秒前
3秒前
4秒前
4秒前
4秒前
小小台yeah发布了新的文献求助10
5秒前
Smithjiang完成签到,获得积分10
5秒前
5秒前
哈哈哈哈发布了新的文献求助10
5秒前
wittig完成签到,获得积分10
6秒前
雪山飞龙发布了新的文献求助30
6秒前
林珍发布了新的文献求助10
7秒前
ling发布了新的文献求助10
7秒前
小马甲应助CDL采纳,获得10
7秒前
7秒前
8秒前
8秒前
酷波er应助阳光的棒球采纳,获得10
8秒前
科研通AI6应助Dawn采纳,获得10
8秒前
qtr发布了新的文献求助10
9秒前
9秒前
量子星尘发布了新的文献求助10
9秒前
9秒前
昏睡的保温杯完成签到,获得积分10
10秒前
ljq发布了新的文献求助10
10秒前
幽默尔蓝发布了新的文献求助10
10秒前
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
List of 1,091 Public Pension Profiles by Region 1001
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
Haematolymphoid Tumours (Part A and Part B, WHO Classification of Tumours, 5th Edition, Volume 11) 400
Virus-like particles empower RNAi for effective control of a Coleopteran pest 400
Unraveling the Causalities of Genetic Variations - Recent Advances in Cytogenetics 400
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 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5466602
求助须知:如何正确求助?哪些是违规求助? 4570422
关于积分的说明 14325272
捐赠科研通 4496951
什么是DOI,文献DOI怎么找? 2463624
邀请新用户注册赠送积分活动 1452586
关于科研通互助平台的介绍 1427567