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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...

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Detalles Bibliográficos
Autores principales: Guan, Lu, Liu, Xiao Fan, Sun, Wujiu, Liang, Hai, Zhu, Jonathan J. H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
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.
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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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