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Efficient sampling of spreading processes on complex networks using a composition and rejection algorithm
Efficient stochastic simulation algorithms are of paramount importance to the study of spreading phenomena on complex networks. Using insights and analytical results from network science, we discuss how the structure of contacts affects the efficiency of current algorithms. We show that algorithms b...
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| Pubblicato in: | Comput Phys Commun |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6839824/ https://ncbi.nlm.nih.gov/pubmed/31708586 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cpc.2019.02.008 |
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