随机网络中渗流的扩展性和普遍性:统一观点

Lorenzo Cirigliano, Gábor Timár, Claudio Castellano
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引用次数: 0

摘要

在过去几十年里,随机网络上的渗流过程一直是激烈研究的主题:在无相关和无聚类拓扑结构上的标准渗流的整体现象是众所周知的。但是,过渡的一些关键特性,特别是对于异质基底,尚未完全阐明,文献中也出现了相互矛盾的结果。在本文中,我们通过生成函数方法,对随机网络中的渗滤临界性质进行了全面而完整的研究。我们确定了任何异质性网络的所有临界指数、相关临界振幅比和簇大小分布形式。特别是对于高度异构网络,我们发现了微妙的交叉现象、非对称的缩放形式和违反超缩放的现象。通过这种方式,我们澄清了以往文献中不一致之处的根源。
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Scaling and universality for percolation in random networks: a unified view
Percolation processes on random networks have been the subject of intense research activity over the last decades: the overall phenomenology of standard percolation on uncorrelated and unclustered topologies is well known. Still some critical properties of the transition, in particular for heterogeneous substrates, have not been fully elucidated and contradictory results appear in the literature. In this paper we present, by means of a generating functions approach, a thorough and complete investigation of percolation critical properties in random networks. We determine all critical exponents, the associated critical amplitude ratios and the form of the cluster size distribution for networks of any level of heterogeneity. We uncover, in particular for highly heterogeneous networks, subtle crossover phenomena, nontrivial scaling forms and violations of hyperscaling. In this way we clarify the origin of inconsistencies in the previous literature.
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