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Comment on "Nodal infection in Markovian susceptible-infected-susceptible and susceptible-infected-removed epidemics on networks are non-negatively correlated"

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Autor(es):
Rodriguez, Pablo M. ; Roldan-Correa, Alejandro ; Alexander Valencia, Leon
Número total de Autores: 3
Tipo de documento: Artigo Científico
Fonte: PHYSICAL REVIEW E; v. 98, n. 2, p. 4-pg., 2018-08-03.
Resumo

Cator and Van Mieghem [Phys.Rev.E 89, 052802 (2014)] stated that the correlation of infection at the same time between any pair of nodes in a network is non-negative for the Markovian susceptible-infected-susceptible (SIS) and susceptible-infected-removed (SIR) epidemic models. The arguments used to obtain this result rely strongly on the graphical construction of the stochastic process, as well as the Fortuin, Kasteleyn, and Ginibre (FKG) inequality. In this Comment, we show that although the approach used by the authors applies to the SIS model, it cannot be used for the SIR model as stated in their work. In particular, we observe that monotonicity in the process is crucial for invoking the FKG inequality. Moreover, we provide an example of a simple graph for which the nodal infection in the SIR Markovian model is negatively correlated. (AU)

Processo FAPESP: 16/11648-0 - Teoremas limite e resultados de transição de fase para modelos de propagação de informação em grafos
Beneficiário:Pablo Martin Rodriguez
Modalidade de apoio: Auxílio à Pesquisa - Regular
Processo FAPESP: 17/10555-0 - Modelagem estocástica de sistemas interagentes
Beneficiário:Fabio Prates Machado
Modalidade de apoio: Auxílio à Pesquisa - Temático