Analysis of mobility homophily in Stockholm based on social network data
| Autor: | Miriam Nordfors, Paolo Santi, Cate Heine, Carlo Ratti, Marcus Sundberg, Cristina Marquez |
|---|---|
| Přispěvatelé: | European Commission |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
social network analysis
Immigration Social Sciences Transportation Social Geography Homophily Social Networking Sociology Residence Characteristics Proxy (statistics) Geographic Areas media_common Telecomunicaciones Multidisciplinary Geography Social Communication Emigration and Immigration mobility homophily Social Networks Research Design Metric (mathematics) Income Neighborhoods Engineering and Technology Educational Status Medicine Network Analysis Research Article Urban Areas Computer and Information Sciences Census urban segregation media_common.quotation_subject Science Equipment Human Geography Research and Analysis Methods Education Urban Geography Humans Cities Socioeconomic status Educational Attainment Communication Equipment Sweden Median income Survey Research Social network business.industry Communications Educational attainment Earth Sciences Human Mobility Demographic economics Cell Phones business Social Media |
| Zdroj: | PLoS ONE, Vol 16, Iss 3, p e0247996 (2021) e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid instname PloS one 16 (2021). doi:10.1371/journal.pone.0247996 info:cnr-pdr/source/autori:Heine C. (1); Marquez C. (2); Santi P. (3); Sundberg M. (4); Nordfors M. (5); Ratti C. (6)/titolo:Analysis of mobility homophily in Stockholm based on social network data/doi:10.1371%2Fjournal.pone.0247996/rivista:PloS one/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:16 PLoS ONE |
| ISSN: | 1932-6203 |
| DOI: | 10.1371/journal.pone.0247996 |
| Popis: | We present a novel metric for measuring relative connection between parts of a city using geotagged Twitter data as a proxy for co-occurrence of city residents. We find that socioeconomic similarity is a significant predictor of this connectivity metric, which we call “linkage strength”: neighborhoods that are similar to one another in terms of residents’ median income, education level, and (to a lesser extent) immigration history are more strongly connected in terms of the of people who spend time there, indicating some level of homophily in the way that individuals choose to move throughout a city’s districts. The authors would like to acknowledge the Senseable Stockholm Lab and its partners: City of Stockholm, KTH Royal Institute of Technology, the Stockholm Chamber of Commerce and Newsec, in collaboration with MIT Senseable City Lab. We would also like to acknowledge the H2020 5G-TOURS project. Finally, we would like to thank the City of Stockholm municipality's Statistical Information Service for provision of population counts and socioeconomic data. |
| Databáze: | OpenAIRE |
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