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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
Descripción
Sumario: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.