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Quantifying social segregation in large-scale networks.


ABSTRACT: 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.

SUBMITTER: Reme BA 

PROVIDER: S-EPMC9018874 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature

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Quantifying social segregation in large-scale networks.

Reme Bjørn-Atle BA   Kotsadam Andreas A   Bjelland Johannes J   Sundsøy Pål Roe PR   Lind Jo Thori JT  

Scientific reports 20220419 1


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 c  ...[more]

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