arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2007.12549cond-mat.stat-mechcs.SIphysics.soc-ph
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不相关网络上的度序渗流

Degree-Ordered-Percolation on uncorrelated networks

Annalisa Caligiuri, Claudio Castellano

摘要:

我们分析了度序渗流(DOP)的性质,在这个模型中,网络的节点是以度降序的方式被占据的。这条规则与研究较多的度递增协议相反,该协议用于研究网络在故意攻击下的弹性,迄今为止受到的关注有限。对DOP的兴趣也是由于它与传染病传播的易感-感染-易感(SIS)模型的联系,因为DOP的变化与随机幂律度分布网络$P(k) \sim k^{-γ}$的SIS转移的消失有关。利用生成函数方法,研究了一般值为$γ$的网络上DOP模型的行为,并通过数值模拟验证了分析结果.我们发现对于$γ\le 3$,在大网络的极限下,渗流阈值为零,而对于$γ>3$,渗流阈值是有限的,尽管对于$γ$,渗流阈值在3和4之间非常小,并且预渐近效应很大.我们还推导出DOP过渡的临界性质,特别是指数如何依赖于网络的异质性,确定DOP不属于$γ\le 3$的随机渗流的普适性类。

英文摘要:

We analyze the properties of Degree-Ordered Percolation (DOP), a model in which the nodes of a network are occupied in degree-descending order. This rule is the opposite of the much studied degree-ascending protocol, used to investigate resilience of networks under intentional attack, and has received limited attention so far. The interest in DOP is also motivated by its connection with the Susceptible-Infected-Susceptible (SIS) model for epidemic spreading, since a variation of DOP is related to the vanishing of the SIS transition for random power-law degree-distributed networks $P(k) \sim k^{-γ}$. By using the generating function formalism, we investigate the behavior of the DOP model on networks with generic value of $γ$ and we validate the analytical results by means of numerical simulations. We find that the percolation threshold vanishes in the limit of large networks for $γ\le 3$, while it is finite for $γ>3$, although its value for $γ$ between 3 and 4 is exceedingly small and preasymptotic effects are huge. We also derive the critical properties of the DOP transition, in particular how the exponents depend on the heterogeneity of the network, determining that DOP does not belong to the universality class of random percolation for $γ\le 3$.

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