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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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書目詳細資料
發表在:Comput Phys Commun
Main Authors: St-Onge, Guillaume, Young, Jean-Gabriel, Hébert-Dufresne, Laurent, Dubé, Louis J.
格式: Artigo
語言:Inglês
出版: 2019
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在線閱讀: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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