A temporal geography of encounters

Integrating social and spatial networks will be critical to new approaches to cities as systems of interaction. In this paper, we focus on the spatial and temporal conditions of encounters as a key condition for the formation of social networks. Drawing on classic approaches such as Freeman’s concep...

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Autores principales: Vinicius M. Netto, João Vitor Meirelles, Maíra Pinheiro, Henrique Lorea
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Publicado: Unité Mixte de Recherche 8504 Géographie-cités 2018
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Acceso en línea:https://doaj.org/article/a1d397ef81c646a59de915662dc063c2
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spelling oai:doaj.org-article:a1d397ef81c646a59de915662dc063c22021-12-02T11:20:39ZA temporal geography of encounters1278-336610.4000/cybergeo.28985https://doaj.org/article/a1d397ef81c646a59de915662dc063c22018-02-01T00:00:00Zhttp://journals.openedition.org/cybergeo/28985https://doaj.org/toc/1278-3366Integrating social and spatial networks will be critical to new approaches to cities as systems of interaction. In this paper, we focus on the spatial and temporal conditions of encounters as a key condition for the formation of social networks. Drawing on classic approaches such as Freeman’s concept of segregation as ‘restriction on contact’, Hägerstrand’s time-geography, and recent explorations of social media locational data, we analysed the space-time structure of potential encounters latent in the urban trajectories of people with different income levels in Rio de Janeiro, Brazil. This approach allows us to estimate trajectories examining spatiotemporal positions in tweets, and assess spaces of potential encounter and levels of social diversity on the streets. Finally, we discuss the utility and limitations of an approach developed to grasp how clusters of encounters between groups with different income levels are produced.Vinicius M. NettoJoão Vitor MeirellesMaíra PinheiroHenrique LoreaUnité Mixte de Recherche 8504 Géographie-citésarticlesocial networkencountersegregationTwitterspatial dataGeography (General)G1-922DEENFRITPTCybergeo (2018)
institution DOAJ
collection DOAJ
language DE
EN
FR
IT
PT
topic social network
encounter
segregation
Twitter
spatial data
Geography (General)
G1-922
spellingShingle social network
encounter
segregation
Twitter
spatial data
Geography (General)
G1-922
Vinicius M. Netto
João Vitor Meirelles
Maíra Pinheiro
Henrique Lorea
A temporal geography of encounters
description Integrating social and spatial networks will be critical to new approaches to cities as systems of interaction. In this paper, we focus on the spatial and temporal conditions of encounters as a key condition for the formation of social networks. Drawing on classic approaches such as Freeman’s concept of segregation as ‘restriction on contact’, Hägerstrand’s time-geography, and recent explorations of social media locational data, we analysed the space-time structure of potential encounters latent in the urban trajectories of people with different income levels in Rio de Janeiro, Brazil. This approach allows us to estimate trajectories examining spatiotemporal positions in tweets, and assess spaces of potential encounter and levels of social diversity on the streets. Finally, we discuss the utility and limitations of an approach developed to grasp how clusters of encounters between groups with different income levels are produced.
format article
author Vinicius M. Netto
João Vitor Meirelles
Maíra Pinheiro
Henrique Lorea
author_facet Vinicius M. Netto
João Vitor Meirelles
Maíra Pinheiro
Henrique Lorea
author_sort Vinicius M. Netto
title A temporal geography of encounters
title_short A temporal geography of encounters
title_full A temporal geography of encounters
title_fullStr A temporal geography of encounters
title_full_unstemmed A temporal geography of encounters
title_sort temporal geography of encounters
publisher Unité Mixte de Recherche 8504 Géographie-cités
publishDate 2018
url https://doaj.org/article/a1d397ef81c646a59de915662dc063c2
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AT viniciusmnetto temporalgeographyofencounters
AT joaovitormeirelles temporalgeographyofencounters
AT mairapinheiro temporalgeographyofencounters
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