Predicting the Popularity of Information on Social Platforms without Underlying Network Structure

The ability to predict the size of information cascades in online social networks is crucial for various applications, including decision-making and viral marketing. However, traditional methods either rely on complicated time-varying features that are challenging to extract from multilingual and cr...

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Detalles Bibliográficos
Autores principales: Wu, Leilei, Yi, Lingling, Ren, Xiao-Long, Lü, Linyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297014/
https://www.ncbi.nlm.nih.gov/pubmed/37372260
http://dx.doi.org/10.3390/e25060916

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297014/
https://www.ncbi.nlm.nih.gov/pubmed/37372260
http://dx.doi.org/10.3390/e25060916

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