Cargando…
Equivalence and its invalidation between non-Markovian and Markovian spreading dynamics on complex networks
Epidemic spreading processes in the real world depend on human behaviors and, consequently, are typically non-Markovian in that the key events underlying the spreading dynamics cannot be described as a Poisson random process and the corresponding event time is not exponentially distributed. In contr...
Autores principales: | Feng, Mi, Cai, Shi-Min, Tang, Ming, Lai, Ying-Cheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6707263/ https://www.ncbi.nlm.nih.gov/pubmed/31444336 http://dx.doi.org/10.1038/s41467-019-11763-z |
Ejemplares similares
-
Publisher Correction: Equivalence and its invalidation between non-Markovian and Markovian spreading dynamics on complex networks
por: Feng, Mi, et al.
Publicado: (2019) -
Endemic state equivalence between non-Markovian SEIS and Markovian SIS model in complex networks
por: Tomovski, Igor, et al.
Publicado: (2022) -
Efficient simulation of non-Markovian dynamics on complex networks
por: Großmann, Gerrit, et al.
Publicado: (2020) -
Enhanced non-Markovian behavior in quantum walks with Markovian disorder
por: Kumar, N. Pradeep, et al.
Publicado: (2018) -
Non-Markovian recovery makes complex networks more resilient against large-scale failures
por: Lin, Zhao-Hua, et al.
Publicado: (2020)