Quantifying social segregation in large-scale networks
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Authors:
Kotsadam, Andreas, Jo Thori Lind, Bjørn Atle Reme, Johannes Bjelland, Pål Sundsøy
Year:
2022
Reference:
Article number: 6474Summary
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.