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Tracking online topics over time: understanding dynamic hashtag communities
BACKGROUND: Hashtags are widely used for communication in online media. As a condensed version of information, they characterize topics and discussions. For their analysis, we apply methods from network science and propose novel tools for tracing their dynamics in time-dependent data. The observatio...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6208799/ https://www.ncbi.nlm.nih.gov/pubmed/30416936 http://dx.doi.org/10.1186/s40649-018-0058-6 |