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Get Free AccessWe present a time-delayed SIS model on complex networks to study epidemic spreading. We found that the existence of delay will affect, and oftentimes enhance, both outbreak and prevalence of infectious diseases in the networks. For small-world networks, we found that the epidemic threshold and the delay time have a power-law relation. For scale-free networks, we found that for a given transmission rate, the epidemic prevalence has an exponential form, which can be analytically obtained, and it decays as the delay time increases. We confirm all results by sufficient numerical simulations.
Xin‐Jian Xu, Guanrong Chen (2009). THE SIS MODEL WITH TIME DELAY ON COMPLEX NETWORKS. International Journal of Bifurcation and Chaos, 19(02), pp. 623-628, DOI: 10.1142/s021812740902324x.
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Type
Article
Year
2009
Authors
2
Datasets
0
Total Files
0
Language
English
Journal
International Journal of Bifurcation and Chaos
DOI
10.1142/s021812740902324x
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