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首页> 外文期刊>Physical review, E >Comment on 'Nodal infection in Markovian susceptible-infected-susceptible and susceptible-infected-removed epidemics on networks are non-negatively correlated'
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Comment on 'Nodal infection in Markovian susceptible-infected-susceptible and susceptible-infected-removed epidemics on networks are non-negatively correlated'

机译:评论“在网络上的马尔可维亚易受感染和敏感感染易感感染的流行病的节点感染是非负相关的”

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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.
机译:Cator和Van Mieghem [Phys。 Rev.E 89,052802(2014)]表示感染的相关性同时在网络中的任何一对节点之间是非负的,对于马尔科维亚易感感染易感(SIS)和易感染的移除( SIR)流行模式。 用于获得此结果的论点依赖于随机过程的图形构建,以及Fortuin,Kasteleyn和Ginibre(FKG)不等式。 在此评论中,我们表明,虽然作者使用的方法适用于SIS模型,但它不能用于工作中所述的SIR模型。 特别是,我们观察到该过程中的单调性对于调用FKG不等式至关重要。 此外,我们提供了一个简单的图表的实例,其中爵士马尔可维亚模型中的节点感染是负相关的。

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