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Census of Twitter users: Scraping and describing the national network of South Korea
Population-level national networks on social media are precious and essential for network science and behavioural science. This study collected a population-level Twitter network, based on both language and geolocation tags. We proposed a set of validation approaches to evaluate the validity of our...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9671467/ https://www.ncbi.nlm.nih.gov/pubmed/36395259 http://dx.doi.org/10.1371/journal.pone.0277549 |
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author | Guan, Lu Liu, Xiao Fan Sun, Wujiu Liang, Hai Zhu, Jonathan J. H. |
author_facet | Guan, Lu Liu, Xiao Fan Sun, Wujiu Liang, Hai Zhu, Jonathan J. H. |
author_sort | Guan, Lu |
collection | PubMed |
description | Population-level national networks on social media are precious and essential for network science and behavioural science. This study collected a population-level Twitter network, based on both language and geolocation tags. We proposed a set of validation approaches to evaluate the validity of our datasets. Finally, we re-examined classical network and communication propositions (e.g., 80/20 rule, six degrees of separation) on the national network. Our dataset and strategy would flourish the data collection pool of population-level social networks and further develop the research of network analysis in digital media environment. |
format | Online Article Text |
id | pubmed-9671467 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-96714672022-11-18 Census of Twitter users: Scraping and describing the national network of South Korea Guan, Lu Liu, Xiao Fan Sun, Wujiu Liang, Hai Zhu, Jonathan J. H. PLoS One Research Article Population-level national networks on social media are precious and essential for network science and behavioural science. This study collected a population-level Twitter network, based on both language and geolocation tags. We proposed a set of validation approaches to evaluate the validity of our datasets. Finally, we re-examined classical network and communication propositions (e.g., 80/20 rule, six degrees of separation) on the national network. Our dataset and strategy would flourish the data collection pool of population-level social networks and further develop the research of network analysis in digital media environment. Public Library of Science 2022-11-17 /pmc/articles/PMC9671467/ /pubmed/36395259 http://dx.doi.org/10.1371/journal.pone.0277549 Text en © 2022 Guan et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Guan, Lu Liu, Xiao Fan Sun, Wujiu Liang, Hai Zhu, Jonathan J. H. Census of Twitter users: Scraping and describing the national network of South Korea |
title | Census of Twitter users: Scraping and describing the national network of South Korea |
title_full | Census of Twitter users: Scraping and describing the national network of South Korea |
title_fullStr | Census of Twitter users: Scraping and describing the national network of South Korea |
title_full_unstemmed | Census of Twitter users: Scraping and describing the national network of South Korea |
title_short | Census of Twitter users: Scraping and describing the national network of South Korea |
title_sort | census of twitter users: scraping and describing the national network of south korea |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9671467/ https://www.ncbi.nlm.nih.gov/pubmed/36395259 http://dx.doi.org/10.1371/journal.pone.0277549 |
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