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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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Bibliografiske detaljer
Udgivet i:Comput Phys Commun
Main Authors: St-Onge, Guillaume, Young, Jean-Gabriel, Hébert-Dufresne, Laurent, Dubé, Louis J.
Format: Artigo
Sprog:Inglês
Udgivet: 2019
Fag:
Online adgang: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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