2018
DOI: 10.31235/osf.io/5xwkz
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A temporal geography of encounters

Abstract: 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 t… Show more

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Cited by 5 publications
(4 citation statements)
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References 22 publications
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“…The spatial-temporal analysis of tweets allows researchers to track users and deduce their mobility patterns (Wu et al 2014), and reveals the spaces where different population groups converge, either based on income bands (Netto et al 2015) or race (Shelton et al 2015). The reliability of Twitter data in mobility studies has been validated in the work of Lenormand et al (2014), who compared the data from Twitter, mobile telephony and official data (censuses), and concluded that the three information sources offer comparable results.…”
Section: Introductionmentioning
confidence: 99%
“…The spatial-temporal analysis of tweets allows researchers to track users and deduce their mobility patterns (Wu et al 2014), and reveals the spaces where different population groups converge, either based on income bands (Netto et al 2015) or race (Shelton et al 2015). The reliability of Twitter data in mobility studies has been validated in the work of Lenormand et al (2014), who compared the data from Twitter, mobile telephony and official data (censuses), and concluded that the three information sources offer comparable results.…”
Section: Introductionmentioning
confidence: 99%
“…Through a systematic search on a website for food retailer brochures (Curious Limited, 2020) and corporate weblowest prices for both products were obtained. The lowest price for lettuce and basil was observed in July (Edeka, 2020) and November (Netto, 2018), respectively. During the data collection in December, the highest price for lettuce was observed (Rewe, 2020b).…”
Section: Assumptionsmentioning
confidence: 99%
“…For instance, Lansley and Longley [47] set out to identify trends on Twitter during typical weekdays in Inner London, using a large sample of geotagged tweets to investigate how key Twitter behavior trends vary across space and time and among user characteristics. The spatial distribution of tweets has revealed to be a good proxy for representing: (a) population densities [49,50]; (b) social characteristics of neighborhoods [51][52][53]; (c) identification of a city s spatial structure and urban land uses [37,54,55]; (d) human and crowd mobility patterns, going beyond the home-based data offered by conventional geodemographic data sources [46,[56][57][58][59][60][61][62][63]; (e) the study of tourism comparing tourist behaviors between cities (both on a national and global scale) or examining local spatial patterns [63][64][65][66][67][68][69][70]; (f) real-time notification and anomalous activity detection, with the potential to inform emergency services [71]; and (g) sentiment analysis and opinion mining [72].…”
Section: Location-based Social Network Data Applied To Study the Impa...mentioning
confidence: 99%