Information networks for COVID-19 according to race/ethnicity

This study highlights information networks for COVID-19 according to race/ethnicity by employing social network analysis for Twitter. First, this study finds that racial/ethnic groups are differently dependent on racial/ethnic key players. Whites and Asians show the highest number of racial/ethnic k...

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Detalles Bibliográficos
Autor principal: Yum, Seungil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9034768/
https://www.ncbi.nlm.nih.gov/pubmed/37124836
http://dx.doi.org/10.1007/s10799-022-00360-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9034768/
https://www.ncbi.nlm.nih.gov/pubmed/37124836
http://dx.doi.org/10.1007/s10799-022-00360-0

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