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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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Detalles Bibliográficos
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
Descripción
Sumario: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.