Segregated interactions in urban and online space
Abstract Urban income segregation is a widespread phenomenon that challenges societies across the globe. Classical studies on segregation have largely focused on the geographic distribution of residential neighborhoods rather than on patterns of social behaviors and interactions. In this study, we a...
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doaj-56c1cad4644e4505905d4e48c6bbe8602020-11-25T03:33:00ZengSpringerOpenEPJ Data Science2193-11272020-07-019112210.1140/epjds/s13688-020-00238-7Segregated interactions in urban and online spaceXiaowen Dong0Alfredo J. Morales1Eaman Jahani2Esteban Moro3Bruno Lepri4Burcin Bozkaya5Carlos Sarraute6Yaneer Bar-Yam7Alex Pentland8Department of Engineering Science, University of OxfordMedia Lab, Massachusetts Institute of TechnologyInstitute for Data, Systems and Society, Massachusetts Institute of TechnologyMedia Lab, Massachusetts Institute of TechnologyMobile and Social Computing Lab, Fondazione Bruno KesslerBehavioral Analytics & Visualization Lab, Sabancı UniversityGrandata LabsNew England Complex Systems InstituteMedia Lab, Massachusetts Institute of TechnologyAbstract Urban income segregation is a widespread phenomenon that challenges societies across the globe. Classical studies on segregation have largely focused on the geographic distribution of residential neighborhoods rather than on patterns of social behaviors and interactions. In this study, we analyze segregation in economic and social interactions by observing credit card transactions and Twitter mentions among thousands of individuals in three culturally different metropolitan areas. We show that segregated interaction is amplified relative to the expected effects of geographic segregation in terms of both purchase activity and online communication. Furthermore, we find that segregation increases with difference in socio-economic status but is asymmetric for purchase activity, i.e., the amount of interaction from poorer to wealthier neighborhoods is larger than vice versa. Our results provide novel insights into the understanding of behavioral segregation in human interactions with significant socio-political and economic implications.http://link.springer.com/article/10.1140/epjds/s13688-020-00238-7Urban segregationPurchase activityOnline communicationComputational social science |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xiaowen Dong Alfredo J. Morales Eaman Jahani Esteban Moro Bruno Lepri Burcin Bozkaya Carlos Sarraute Yaneer Bar-Yam Alex Pentland |
spellingShingle |
Xiaowen Dong Alfredo J. Morales Eaman Jahani Esteban Moro Bruno Lepri Burcin Bozkaya Carlos Sarraute Yaneer Bar-Yam Alex Pentland Segregated interactions in urban and online space EPJ Data Science Urban segregation Purchase activity Online communication Computational social science |
author_facet |
Xiaowen Dong Alfredo J. Morales Eaman Jahani Esteban Moro Bruno Lepri Burcin Bozkaya Carlos Sarraute Yaneer Bar-Yam Alex Pentland |
author_sort |
Xiaowen Dong |
title |
Segregated interactions in urban and online space |
title_short |
Segregated interactions in urban and online space |
title_full |
Segregated interactions in urban and online space |
title_fullStr |
Segregated interactions in urban and online space |
title_full_unstemmed |
Segregated interactions in urban and online space |
title_sort |
segregated interactions in urban and online space |
publisher |
SpringerOpen |
series |
EPJ Data Science |
issn |
2193-1127 |
publishDate |
2020-07-01 |
description |
Abstract Urban income segregation is a widespread phenomenon that challenges societies across the globe. Classical studies on segregation have largely focused on the geographic distribution of residential neighborhoods rather than on patterns of social behaviors and interactions. In this study, we analyze segregation in economic and social interactions by observing credit card transactions and Twitter mentions among thousands of individuals in three culturally different metropolitan areas. We show that segregated interaction is amplified relative to the expected effects of geographic segregation in terms of both purchase activity and online communication. Furthermore, we find that segregation increases with difference in socio-economic status but is asymmetric for purchase activity, i.e., the amount of interaction from poorer to wealthier neighborhoods is larger than vice versa. Our results provide novel insights into the understanding of behavioral segregation in human interactions with significant socio-political and economic implications. |
topic |
Urban segregation Purchase activity Online communication Computational social science |
url |
http://link.springer.com/article/10.1140/epjds/s13688-020-00238-7 |
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