English

Quantifying urban socio-economic segregation through co-residence network reconstruction

Physics and Society 2025-05-26 v2 Social and Information Networks Data Analysis, Statistics and Probability

Abstract

Urban segregation poses a critical challenge in cities, exacerbating inequalities, social tensions, fears, and polarization. It emerges from a complex interplay of socio-economic disparities and residential preferences, disproportionately impacting migrant communities. In this paper, using a comprehensive administrative data from Vienna, where nearly 40% of the population consists of international migrants, we analyse co-residence preferences between migrants and locals at the neighbourhood level. Our findings reveal two major clusters in Vienna shaped by wealth disparities, district diversity, and nationality-based homophily. These insights shed light on the underlying mechanisms of urban segregation and designing policies for better integration.

Keywords

Cite

@article{arxiv.2501.15920,
  title  = {Quantifying urban socio-economic segregation through co-residence network reconstruction},
  author = {Marc Sadurní and Samuel Martin-Gutierrez and Ola Ali and Ana María Jaramillo and Rafael Prieto-Curiel and Fariba Karimi},
  journal= {arXiv preprint arXiv:2501.15920},
  year   = {2025}
}

Comments

40 pages with 16 figures and 4 tables

R2 v1 2026-06-28T21:19:16.527Z