Cargando…
Scalable Estimation of Epidemic Thresholds via Node Sampling
Infectious or contagious diseases can be transmitted from one person to another through social contact networks. In today’s interconnected global society, such contagion processes can cause global public health hazards, as exemplified by the ongoing Covid-19 pandemic. It is therefore of great practi...
Autores principales: | Dasgupta, Anirban, Sengupta, Srijan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer India
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8260572/ https://www.ncbi.nlm.nih.gov/pubmed/34248309 http://dx.doi.org/10.1007/s13171-021-00249-0 |
Ejemplares similares
-
Estimating the distance to an epidemic threshold
por: O'Dea, Eamon B., et al.
Publicado: (2018) -
Estimating the epidemic threshold on networks by deterministic
connections
por: Li, Kezan, et al.
Publicado: (2014) -
Large epidemic thresholds emerge in heterogeneous networks of heterogeneous nodes
por: Yang, Hui, et al.
Publicado: (2015) -
Scalably Using Node Attributes and Graph Structure for Node Classification †
por: Merchant, Arpit, et al.
Publicado: (2022) -
Estimation of variance components of threshold characters by marginal posterior modes and means via Gibbs sampling
por: Hoeschele, I, et al.
Publicado: (1995)