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Change points, memory and epidemic spreading in temporal networks
Dynamic networks exhibit temporal patterns that vary across different time scales, all of which can potentially affect processes that take place on the network. However, most data-driven approaches used to model time-varying networks attempt to capture only a single characteristic time scale in isol...
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| Publicado no: | Sci Rep |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6195572/ https://ncbi.nlm.nih.gov/pubmed/30341364 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-33313-1 |
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