On the effect of the path length of small-world networks on epidemic dynamics

We show how one can trace in a systematic way the coarse-grained solutions of individual-based stochastic epidemic models evolving on heterogeneous complex networks with respect to their topological characteristics. In particular, we illustrate the "distinct" impact of the average path len...

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Bibliographic Details
Published inVirulence Vol. 3; no. 2; pp. 146 - 153
Main Authors Reppas, Andreas I., Spiliotis, Konstantinos, Siettos, Constantinos I.
Format Journal Article
LanguageEnglish
Published United States Taylor & Francis 01.03.2012
Subjects
Algorithms
Binding
Biology
Bioscience
Calcium
Cancer
Cell
Communicable Diseases - transmission
contagion policies
Cycle
emergent dynamics
Epidemics - statistics & numerical data
host-host interactions
Humans
infectious disease dynamics
Landes
Models, Statistical
Organogenesis
path length
Proteins
social networks
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Summary:We show how one can trace in a systematic way the coarse-grained solutions of individual-based stochastic epidemic models evolving on heterogeneous complex networks with respect to their topological characteristics. In particular, we illustrate the "distinct" impact of the average path length (with respect to the degree and clustering distributions) on the emergent behavior of detailed epidemic models; to achieve this we have developed an algorithm that allows its tuning at will. The framework could be used to shed more light on the influence of weak social links on epidemic spread within small-world network structures, and ultimately to provide novel systematic computational modeling and exploration of better contagion control strategies.
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ISSN:2150-5594
2150-5608
DOI:10.4161/viru.19131