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Estimating mobility of tourists. New Twitter-based procedure
Twitter has been actively researched as a human mobility proxy. Tweets can contain two classes of geographical metadata: the location from which a tweet was published, and the place where the tweet is estimated to have been published. Nevertheless, Twitter also presents tweets without any geographic...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9971121/ https://www.ncbi.nlm.nih.gov/pubmed/36865461 http://dx.doi.org/10.1016/j.heliyon.2023.e13718 |
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author | Muñoz-Dueñas, Pilar Martínez-Comesaña, Miguel Martínez-Torres, Javier Bastos-Costas, Guillermo |
author_facet | Muñoz-Dueñas, Pilar Martínez-Comesaña, Miguel Martínez-Torres, Javier Bastos-Costas, Guillermo |
author_sort | Muñoz-Dueñas, Pilar |
collection | PubMed |
description | Twitter has been actively researched as a human mobility proxy. Tweets can contain two classes of geographical metadata: the location from which a tweet was published, and the place where the tweet is estimated to have been published. Nevertheless, Twitter also presents tweets without any geographical metadata when querying for tweets on a specific location. This study presents a methodology which includes an algorithm for estimating the geographical coordinates to tweets for which Twitter doesn't assign any. Our objective is to determine the origin and the route that a tourist followed, even if Twitter doesn't return geographically identified data. This is carried out through geographical searches of tweets inside a defined area. Once a tweet is found inside an area, but its metadata contains no explicit geographical coordinates, its coordinates are estimated by iteratively performing geographical searches, with a decreasing geographical searching radius. This algorithm was tested in two touristic villages of Madrid (Spain) and a major city in Canada. A set of tweets without geographical coordinates in these areas were found and processed. The coordinates of a subset of them were successfully estimated. |
format | Online Article Text |
id | pubmed-9971121 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-99711212023-03-01 Estimating mobility of tourists. New Twitter-based procedure Muñoz-Dueñas, Pilar Martínez-Comesaña, Miguel Martínez-Torres, Javier Bastos-Costas, Guillermo Heliyon Research Article Twitter has been actively researched as a human mobility proxy. Tweets can contain two classes of geographical metadata: the location from which a tweet was published, and the place where the tweet is estimated to have been published. Nevertheless, Twitter also presents tweets without any geographical metadata when querying for tweets on a specific location. This study presents a methodology which includes an algorithm for estimating the geographical coordinates to tweets for which Twitter doesn't assign any. Our objective is to determine the origin and the route that a tourist followed, even if Twitter doesn't return geographically identified data. This is carried out through geographical searches of tweets inside a defined area. Once a tweet is found inside an area, but its metadata contains no explicit geographical coordinates, its coordinates are estimated by iteratively performing geographical searches, with a decreasing geographical searching radius. This algorithm was tested in two touristic villages of Madrid (Spain) and a major city in Canada. A set of tweets without geographical coordinates in these areas were found and processed. The coordinates of a subset of them were successfully estimated. Elsevier 2023-02-13 /pmc/articles/PMC9971121/ /pubmed/36865461 http://dx.doi.org/10.1016/j.heliyon.2023.e13718 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Muñoz-Dueñas, Pilar Martínez-Comesaña, Miguel Martínez-Torres, Javier Bastos-Costas, Guillermo Estimating mobility of tourists. New Twitter-based procedure |
title | Estimating mobility of tourists. New Twitter-based procedure |
title_full | Estimating mobility of tourists. New Twitter-based procedure |
title_fullStr | Estimating mobility of tourists. New Twitter-based procedure |
title_full_unstemmed | Estimating mobility of tourists. New Twitter-based procedure |
title_short | Estimating mobility of tourists. New Twitter-based procedure |
title_sort | estimating mobility of tourists. new twitter-based procedure |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9971121/ https://www.ncbi.nlm.nih.gov/pubmed/36865461 http://dx.doi.org/10.1016/j.heliyon.2023.e13718 |
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