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两步感染模型中单感染源的混合阶相变。

Mixed-order phase transition in a two-step contagion model with a single infectious seed.

机构信息

CCSS, CTP and Department of Physics and Astronomy, Seoul National University, Seoul 08826, Korea.

出版信息

Phys Rev E. 2017 Feb;95(2-1):022304. doi: 10.1103/PhysRevE.95.022304. Epub 2017 Feb 9.

Abstract

Percolation is known as one of the most robust continuous transitions, because its occupation rule is intrinsically local. As one of the ways to break the robustness, occupation is allowed to more than one species of particles and they occupy cooperatively. This generalized percolation model undergoes a discontinuous transition. Here we investigate an epidemic model with two contagion steps and characterize its phase transition analytically and numerically. We find that even though the order parameter jumps at a transition point r_{c}, then increases continuously, it does not exhibit any critical behavior: the fluctuations of the order parameter do not diverge at r_{c}. However, critical behavior appears in mean outbreak size, which diverges at the transition point in a manner that the ordinary percolation shows. Such a type of phase transition is regarded as a mixed-order phase transition. We also obtain scaling relations of cascade outbreak statistics when the order parameter jumps at r_{c}.

摘要

渗流被认为是最稳健的连续相变之一,因为它的占据规则本质上是局部的。作为打破稳健性的一种方式,允许占据超过一种粒子,并且它们协同占据。这个广义渗流模型经历了不连续相变。在这里,我们研究了一个具有两个传染步骤的传染病模型,并从分析和数值上对其相变进行了表征。我们发现,即使序参量在相变点 r_c 处跳跃,然后连续增加,它也不会表现出任何临界行为:序参量的涨落在 r_c 处不会发散。然而,在平均爆发规模上出现了临界行为,这以普通渗流表现出的方式在相变点处发散。这种相变类型被认为是混合阶相变。当序参量在 r_c 处跳跃时,我们还获得了级联爆发统计的标度关系。

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