About: Autocorrelation of the susceptible-infected-susceptible process on networks

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Autocorrelation of the susceptible-infected-susceptible process on networks
Creator	Liu, Qiang Mieghem, Piet
Source	PMC
abstract	In this paper, we focus on the autocorrelation of the susceptible-infected-susceptible (SIS) process on networks. The [Formula: see text]-intertwined mean-field approximation (NIMFA) is applied to calculate the autocorrelation properties of the exact SIS process. We derive the autocorrelation of the infection state of each node and the fraction of infected nodes both in the steady and transient states as functions of the infection probabilities of nodes. Moreover, we show that the autocorrelation can be used to estimate the infection and curing rates of the SIS process. The theoretical results are compared with the simulation of the exact SIS process. Our work fully utilizes the potential of the mean-field method and shows that NIMFA can indeed capture the autocorrelation properties of the exact SIS process.
has issue date	2018-06-11(xsd:dateTime)
bibo:doi	10.1103/physreve.97.062309
bibo:pmid	30011514
has license	no-cc
sha1sum (hex)	2f0f9379c2b558cd84ab851198f0a42ee6dc1e75
schema:url	https://doi.org/10.1103/physreve.97.062309
resource representing a document's title	Autocorrelation of the susceptible-infected-susceptible process on networks
has PubMed Central identifier	PMC7217534
has PubMed identifier	30011514
resource representing a document's body	covid:2f0f9379c2b558cd84ab851198f0a42ee6dc1e75#body_text
is schema:about of	named entity 'SIS' named entity 'process' named entity 'SIS' named entity 'fraction' named entity 'infection' named entity 'POTENTIAL' named entity 'COMPARED' named entity 'FIELD METHOD' named entity 'CAPTURE' named entity 'autocorrelation' named entity 'mean-field' named entity 'infection' named entity 'nodes' named entity 'NIMFA' named entity 'autocorrelation' named entity 'autocorrelation' named entity 'k-regular graph' named entity 'autocorrelation' named entity 'cross correlation' named entity 'infection rate' named entity 'Markov process' named entity 'autocorrelation' named entity 'epidemic' named entity 'autocorrelation' named entity 'identity matrix' named entity 'infection' named entity 'probability' named entity 'infection' named entity 'upper bound' named entity 'autocorrelation' named entity 'probability' named entity 'autocorrelation' named entity 'infection rate' named entity 'transition probability' named entity 'autocorrelation' named entity 'covariance' named entity 'infection' named entity 'autocorrelation' named entity 'transition probability' named entity 'absorbing state' named entity 'Taylor series' named entity 'second-order' named entity '2, 3' named entity '0.01' named entity 'randomly selected' named entity 'autocorrelation' named entity 'autocorrelation' named entity 'infection' named entity 'infection' named entity 'exponential decay' named entity 'probability' named entity 'Magnus expansion' named entity 'transition matrix' named entity 'epidemic' named entity 'infection rate' named entity 'Markov' named entity 'infection' named entity 'transition probability matrix' named entity 'autocorrelations' named entity 'infection' named entity 'autocorrelation' named entity 'infection' named entity 'Taylor expansion' named entity 'autocorrelation' named entity 'virus' named entity 'autocorrelation' named entity 'autocorrelation function' named entity 'infection rate' named entity 'scale-free network' named entity 'TUDelft' named entity 'positively correlated' named entity 'Kolmogorov forward equation' named entity 'autocorrelation' named entity 'metastable state' named entity 'infection' named entity 'autocorrelation' named entity 'upper bound' named entity 'adjacency matrix' named entity 'infection' named entity 'steady state' named entity 'steady state'

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