Deep learning of contagion dynamics on complex networks

Forecasting the evolution of contagion dynamics is still an open problem to which mechanistic models only offer a partial answer. To remain mathematically or computationally tractable, these models must rely on simplifying assumptions, thereby limiting the quantitative accuracy of their predictions...

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Detalles Bibliográficos
Autores principales: Murphy, Charles, Laurence, Edward, Allard, Antoine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8342694/
https://www.ncbi.nlm.nih.gov/pubmed/34354055
http://dx.doi.org/10.1038/s41467-021-24732-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8342694/
https://www.ncbi.nlm.nih.gov/pubmed/34354055
http://dx.doi.org/10.1038/s41467-021-24732-2

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