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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| 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 |