Quantifying social segregation in large-scale networks

Lenke til artikkel:

[DOI] [PDF]

Forfattere:

Kotsadam, Andreas, Jo Thori Lind, Bjørn Atle Reme, Johannes Bjelland, Pål Sundsøy

År:

2022

Referanse:

Scientific Reports

Sammendrag (engelsk)

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.