Measuring the size of a crowd using Instagram
dc.contributor.author | Botta, F | |
dc.contributor.author | Moat, HS | |
dc.contributor.author | Preis, T | |
dc.date.accessioned | 2020-07-23T09:34:04Z | |
dc.date.issued | 2019-04-22 | |
dc.description.abstract | Measuring 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.sponsorship | Research Councils UK | en_GB |
dc.description.sponsorship | University of Warwick | en_GB |
dc.description.sponsorship | ESRC | en_GB |
dc.description.sponsorship | Alan Turing Institute | en_GB |
dc.description.sponsorship | EPSRC | en_GB |
dc.identifier.citation | Published online 22 April 2019 | en_GB |
dc.identifier.doi | 10.1177/2399808319841615 | |
dc.identifier.grantnumber | EP/E501311/1 | en_GB |
dc.identifier.grantnumber | EP/K039830/1 | en_GB |
dc.identifier.grantnumber | ES/M500434/1 | en_GB |
dc.identifier.grantnumber | EP/N510129/1 | en_GB |
dc.identifier.grantnumber | TU/B/000006 | en_GB |
dc.identifier.grantnumber | TU/B/000008 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/122098 | |
dc.language.iso | en | en_GB |
dc.publisher | SAGE Publications | en_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.subject | complex systems | en_GB |
dc.subject | computational social science | en_GB |
dc.subject | Data science | en_GB |
dc.title | Measuring the size of a crowd using Instagram | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2020-07-23T09:34:04Z | |
dc.identifier.issn | 2399-8083 | |
dc.description | This is the final version. Available from SAGE Publications via the DOI in this record. | en_GB |
dc.identifier.journal | Environment and Planning B: Urban Analytics and City Science | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2019-02-12 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2019-02-12 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2020-07-23T08:37:11Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2020-07-23T09:34:12Z | |
refterms.panel | B | en_GB |
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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).