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dc.contributor.authorBotta, F
dc.contributor.authorMoat, HS
dc.contributor.authorPreis, T
dc.date.accessioned2020-07-23T09:34:04Z
dc.date.issued2019-04-22
dc.description.abstractMeasuring the size of a crowd in a specific location can be of crucial importance for crowd management, in particular in emergency situations. Here, using two football stadiums as case studies, we present evidence that data generated through interactions with the social media platform Instagram can be used to generate estimates of the size of a crowd. We present a detailed analysis of the impact of varying the time period and spatial area considered for the collection of Instagram data. Crucially, we demonstrate how to address issues that arise from changes in the usage of a social media platform such as Instagram. Our findings show how social media datasets carrying location-based information may help provide near to real-time measurements of the size of a crowd.en_GB
dc.description.sponsorshipResearch Councils UKen_GB
dc.description.sponsorshipUniversity of Warwicken_GB
dc.description.sponsorshipESRCen_GB
dc.description.sponsorshipAlan Turing Instituteen_GB
dc.description.sponsorshipEPSRCen_GB
dc.identifier.citationPublished online 22 April 2019en_GB
dc.identifier.doi10.1177/2399808319841615
dc.identifier.grantnumberEP/E501311/1en_GB
dc.identifier.grantnumberEP/K039830/1en_GB
dc.identifier.grantnumberES/M500434/1en_GB
dc.identifier.grantnumberEP/N510129/1en_GB
dc.identifier.grantnumberTU/B/000006en_GB
dc.identifier.grantnumberTU/B/000008en_GB
dc.identifier.urihttp://hdl.handle.net/10871/122098
dc.language.isoenen_GB
dc.publisherSAGE Publicationsen_GB
dc.rights© The Author(s) 2019. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (http://www.creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).en_GB
dc.subjectcomplex systemsen_GB
dc.subjectcomputational social scienceen_GB
dc.subjectData scienceen_GB
dc.titleMeasuring the size of a crowd using Instagramen_GB
dc.typeArticleen_GB
dc.date.available2020-07-23T09:34:04Z
dc.identifier.issn2399-8083
dc.descriptionThis is the final version. Available from SAGE Publications via the DOI in this record. en_GB
dc.identifier.journalEnvironment and Planning B: Urban Analytics and City Scienceen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2019-02-12
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-02-12
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-07-23T08:37:11Z
refterms.versionFCDAM
refterms.dateFOA2020-07-23T09:34:12Z
refterms.panelBen_GB


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© The Author(s) 2019. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (http://www.creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Except where otherwise noted, this item's licence is described as © The Author(s) 2019. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (http://www.creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).