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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...
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| Publicado no: | Comput Soc Netw |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer International Publishing
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6208799/ https://ncbi.nlm.nih.gov/pubmed/30416936 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40649-018-0058-6 |
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