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

Reppas, A; Spiliotis, K; Siettos, C

dc.contributor.author	Reppas, A	en
dc.contributor.author	Spiliotis, K	en
dc.contributor.author	Siettos, C	en
dc.date.accessioned	2014-03-01T02:01:29Z
dc.date.available	2014-03-01T02:01:29Z
dc.date.issued	2011	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29179
dc.relation.uri	http://arxiv.org/abs/1102.5420	en
dc.relation.uri	http://www.informatik.uni-trier.de/~ley/db/journals/corr/corr1102.html#abs-1102-5420	en
dc.subject	Clustering Coefficient	en
dc.subject	Coarse Grained	en
dc.subject	Complex Network	en
dc.subject	Control Strategy	en
dc.subject	Emergent Behavior	en
dc.subject	Epidemic Model	en
dc.subject	Small World Network	en
dc.subject	Social Ties	en
dc.title	On the effect of the path length and transitivity of small-world networks on epidemic dynamics	en
heal.type	journalArticle	en
heal.publicationDate	2011	en
heal.abstract	We show how one can trace in a systematic way the coarse-grained solutions ofindividual-based stochastic epidemic models evolving on heterogeneous complexnetworks with respect to their topological characteristics. In particular, wehave developed algorithms that allow the tuning of the transitivity (clusteringcoefficient) and the average mean-path length allowing the investigation of the"pure" impacts of the two characteristics	en
heal.journalName	Computing Research Repository	en