Cargando…
Investigating the COVID-19 vaccine discussions on Twitter through a multilayer network-based approach
Modeling discussions on social networks is a challenging task, especially if we consider sensitive topics, such as politics or healthcare. However, the knowledge hidden in these debates helps to investigate trends and opinions and to identify the cohesion of users when they deal with a specific topi...
Autores principales: | Bonifazi, Gianluca, Breve, Bernardo, Cirillo, Stefano, Corradini, Enrico, Virgili, Luca |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464588/ https://www.ncbi.nlm.nih.gov/pubmed/36119754 http://dx.doi.org/10.1016/j.ipm.2022.103095 |
Ejemplares similares
-
Social network analysis of Twitter interactions: a directed multilayer network approach
por: Logan, Austin P., et al.
Publicado: (2023) -
GMO discussion on Twitter
por: Erokhin, Dmitry, et al.
Publicado: (2023) -
A machine learning based sentient multimedia framework to increase safety at work
por: Bonifazi, Gianluca, et al.
Publicado: (2021) -
Social Bots’ Involvement in the COVID-19 Vaccine Discussions on Twitter
por: Zhang, Menghan, et al.
Publicado: (2022) -
Characterizing Twitter Discussions About HPV Vaccines Using Topic Modeling and Community Detection
por: Surian, Didi, et al.
Publicado: (2016)