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Predicting Key Events in the Popularity Evolution of Online Information
The popularity of online information generally experiences a rising and falling evolution. This paper considers the “burst”, “peak”, and “fade” key events together as a representative summary of popularity evolution. We propose a novel prediction task—predicting when popularity undergoes these key e...
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| Publicat a: | PLoS One |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5207696/ https://ncbi.nlm.nih.gov/pubmed/28046121 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0168749 |
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