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Inequality is rising where social network segregation interacts with urban topology.
Tóth, Gergo; Wachs, Johannes; Di Clemente, Riccardo; Jakobi, Ákos; Ságvári, Bence; Kertész, János; Lengyel, Balázs.
Afiliación
  • Tóth G; Agglomeration and Social Networks Lendület Research Group, Centre for Economic-and Regional Studies, Budapest, Hungary.
  • Wachs J; Spatial Dynamics Lab, University College Dublin, Dublin, Ireland.
  • Di Clemente R; Institute for Data, Process and Knowledge Management, Vienna University of Economics and Business, Vienna, Austria.
  • Jakobi Á; Complexity Science Hub Vienna, Vienna, Austria.
  • Ságvári B; Department of Computer Science, University of Exeter, Exeter, UK.
  • Kertész J; Centre for Advanced Spatial Analysis, University College London, London, UK.
  • Lengyel B; Department of Regional Science, Eötvös Loránd University, Budapest, Hungary.
Nat Commun ; 12(1): 1143, 2021 02 18.
Article en En | MEDLINE | ID: mdl-33602929
ABSTRACT
Social networks amplify inequalities by fundamental mechanisms of social tie formation such as homophily and triadic closure. These forces sharpen social segregation, which is reflected in fragmented social network structure. Geographical impediments such as distance and physical or administrative boundaries also reinforce social segregation. Yet, less is known about the joint relationships between social network structure, urban geography, and inequality. In this paper we analyze an online social network and find that the fragmentation of social networks is significantly higher in towns in which residential neighborhoods are divided by physical barriers such as rivers and railroads. Towns in which neighborhoods are relatively distant from the center of town and amenities are spatially concentrated are also more socially segregated. Using a two-stage model, we show that these urban geography features have significant relationships with income inequality via social network fragmentation. In other words, the geographic features of a place can compound economic inequalities via social networks.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Aspecto: Determinantes_sociais_saude / Equity_inequality Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2021 Tipo del documento: Article País de afiliación: Hungria Pais de publicación: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Aspecto: Determinantes_sociais_saude / Equity_inequality Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2021 Tipo del documento: Article País de afiliación: Hungria Pais de publicación: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM