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NiemaGraphGen: A memory-efficient global-scale contact network simulation toolkit
Epidemic simulations require the ability to sample contact networks from various random graph models. Existing methods can simulate city-scale or even country-scale contact networks, but they are unable to feasibly simulate global-scale contact networks due to high memory consumption. NiemaGraphGen...
Autor principal: | Moshiri, Niema |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
GigaScience Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10038133/ https://www.ncbi.nlm.nih.gov/pubmed/36968795 http://dx.doi.org/10.46471/gigabyte.37 |
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