Diffusion size and structural virality: The effects of message and network features on spreading health information on twitter

Relying on diffusion of innovation theory, this study examines the impacts of perceived message features and network characteristics on size (i.e., the number of retweets a message receives) and structural virality (i.e., quantified distinction between broadcast and viral diffusion) of information d...

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Detalles Bibliográficos
Autores principales: Meng, Jingbo, Peng, Wei, Tan, Pang-Ning, Liu, Wuyu, Cheng, Ying, Bae, Arram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127591/
https://www.ncbi.nlm.nih.gov/pubmed/32288177
http://dx.doi.org/10.1016/j.chb.2018.07.039

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127591/
https://www.ncbi.nlm.nih.gov/pubmed/32288177
http://dx.doi.org/10.1016/j.chb.2018.07.039

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