Analysis of mobility homophily in Stockholm based on social network data

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dc.contributor.author Heine, Cate
dc.contributor.author Márquez Colás, María Cristina
dc.contributor.author Santi, Paolo
dc.contributor.author Sundberg, Marcus
dc.contributor.author Nordfors, Miriam
dc.contributor.author Ratti, Carlo
dc.date.accessioned 2021-10-05T09:55:18Z
dc.date.available 2021-10-05T09:55:18Z
dc.date.issued 2021-03-09
dc.identifier.bibliographicCitation Heine, C., Marquez, C., Santi, P., Sundberg, M., Nordfors, M. & Ratti, C. (2021). Analysis of mobility homophily in Stockholm based on social network data. PLOS ONE, 16(3), e0247996.
dc.identifier.issn 1932-6203
dc.identifier.uri http://hdl.handle.net/10016/33365
dc.description.abstract 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.
dc.description.sponsorship 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.
dc.format.extent 14
dc.language.iso eng
dc.publisher Public Library of Science (PLOS)
dc.rights © 2021 Heine et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.rights Atribución 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by/3.0/es/
dc.title Analysis of mobility homophily in Stockholm based on social network data
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1371/journal.pone.0247996
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/ GA-856950
dc.type.version publishedVersion
dc.identifier.publicationfirstpage e0247996
dc.identifier.publicationissue 3
dc.identifier.publicationtitle PLoS ONE
dc.identifier.publicationvolume 16
dc.identifier.uxxi AR/0000028331
dc.contributor.funder European Commission
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