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Finding Near-Optimal Groups of Epidemic Spreaders in a Complex Network

In this paper, we present algorithms to find near-optimal sets of epidemic spreaders in complex networks. We extend the notion of local-centrality, a centrality measure previously shown to correspond with a node's ability to spread an epidemic, to sets of nodes by introducing combinatorial loca...

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Detalles Bibliográficos
Autores principales: Moores, Geoffrey, Shakarian, Paulo, Macdonald, Brian, Howard, Nicholas
Formato: Artigo
Lenguaje:Inglês
Publicado: Public Library of Science 2014
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC3973667/
https://ncbi.nlm.nih.gov/pubmed/24694693
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0090303
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