SociologyNature Communications
Quantifying ethnic segregation in cities through random walks
S. Sousa and V. Nicosia
This groundbreaking research conducted by Sandro Sousa and Vincenzo Nicosia introduces an innovative, non-parametric approach to measure spatial segregation in cities through random walks on graphs. By analyzing the time taken by a random walker to encounter diverse ethnic groups, the findings unveil significant insights into the multi-dimensional aspects of ethnic segregation and its connection to socioeconomic deprivation across US and UK metropolitan areas.
Related Publications
Explore these studies to deepen your understanding
Adjacent work that informs or extends this paper's methodology and findings.
Medicine and Health
Heterogeneity and effectiveness analysis of COVID-19 prevention and control in major cities in China through time-varying reproduction number estimation
Q. Cheng, Z. Liu, et al.
Sociology
Mobility patterns are associated with experienced income segregation in large US cities
E. Moro, D. Calacci, et al.
Sociology
Human mobility networks reveal increased segregation in large cities
H. Nilforoshan, W. Looi, et al.
Environmental Studies and Forestry
Linking environmental injustices in Detroit, MI to institutional racial segregation through historical federal redlining
A. Shkembi, L. M. Smith, et al.

