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Quantifying social segregation in large-scale networks

We present a measure of social segregation which combines mobile phone data and income register data in Oslo, Norway. In addition to measuring the extent of social segregation, our study shows that social segregation is strong, robust, and that social networks are particularly clustered among the ri...

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Autores principales: Reme, Bjørn-Atle, Kotsadam, Andreas, Bjelland, Johannes, Sundsøy, Pål Roe, Lind, Jo Thori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9018874/
https://www.ncbi.nlm.nih.gov/pubmed/35440681
http://dx.doi.org/10.1038/s41598-022-10273-1
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author Reme, Bjørn-Atle
Kotsadam, Andreas
Bjelland, Johannes
Sundsøy, Pål Roe
Lind, Jo Thori
author_facet Reme, Bjørn-Atle
Kotsadam, Andreas
Bjelland, Johannes
Sundsøy, Pål Roe
Lind, Jo Thori
author_sort Reme, Bjørn-Atle
collection PubMed
description We present a measure of social segregation which combines mobile phone data and income register data in Oslo, Norway. In addition to measuring the extent of social segregation, our study shows that social segregation is strong, robust, and that social networks are particularly clustered among the richest. Using location data on the areas where people work, we also examine whether exposure to other social strata weakens measured segregation. Lastly, we extend our analysis to a large South Asian city and show that our main results hold across two widely different societies.
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spelling pubmed-90188742022-04-21 Quantifying social segregation in large-scale networks Reme, Bjørn-Atle Kotsadam, Andreas Bjelland, Johannes Sundsøy, Pål Roe Lind, Jo Thori Sci Rep Article We present a measure of social segregation which combines mobile phone data and income register data in Oslo, Norway. In addition to measuring the extent of social segregation, our study shows that social segregation is strong, robust, and that social networks are particularly clustered among the richest. Using location data on the areas where people work, we also examine whether exposure to other social strata weakens measured segregation. Lastly, we extend our analysis to a large South Asian city and show that our main results hold across two widely different societies. Nature Publishing Group UK 2022-04-19 /pmc/articles/PMC9018874/ /pubmed/35440681 http://dx.doi.org/10.1038/s41598-022-10273-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Reme, Bjørn-Atle
Kotsadam, Andreas
Bjelland, Johannes
Sundsøy, Pål Roe
Lind, Jo Thori
Quantifying social segregation in large-scale networks
title Quantifying social segregation in large-scale networks
title_full Quantifying social segregation in large-scale networks
title_fullStr Quantifying social segregation in large-scale networks
title_full_unstemmed Quantifying social segregation in large-scale networks
title_short Quantifying social segregation in large-scale networks
title_sort quantifying social segregation in large-scale networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9018874/
https://www.ncbi.nlm.nih.gov/pubmed/35440681
http://dx.doi.org/10.1038/s41598-022-10273-1
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