About: Reaction-diffusion on random spatial networks with scale-free jumping rates via effective medium theory

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About: Reaction-diffusion on random spatial networks with scale-free jumping rates via effective medium theory Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Reaction-diffusion on random spatial networks with scale-free jumping rates via effective medium theory
Creator	Iannelli, Flavio Sokolov, Igor Thiel, Felix
Source	PMC
abstract	We study epidemic processes using a metapopulation approach on the line featuring random transport rates between arbitrarily distant sites. An average transport network is found using a recently developed variant of the effective medium approximation (EMA) that is capable of dealing with these long-range connections. Using a Feynman-Kac argument in the effective medium, we derive an estimate on the size of the infected domain, and reproduce the known result of its exponential growth in time. We hereby demonstrate the applicability of long-range EMA to dynamical processes on networks more intricate than simple diffusion.
has issue date	2018-09-28(xsd:dateTime)
bibo:doi	10.1103/physreve.98.032313
has license	no-cc
sha1sum (hex)	3963a5bd0c5217113cd6533eb96bf7e3da5047d0
schema:url	https://doi.org/10.1103/physreve.98.032313
resource representing a document's title	Reaction-diffusion on random spatial networks with scale-free jumping rates via effective medium theory
has PubMed Central identifier	PMC7217542
resource representing a document's body	covid:3963a5bd0c5217113cd6533eb96bf7e3da5047d0#body_text
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