Lorenzo Cirigliano, Claudio Castellano, Ginestra Bianconi
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引用次数: 0
Abstract
Extended-range percolation is a robust percolation process that has relevance for quantum communication problems. In extended-range percolation nodes can be trusted or untrusted. Untrusted facilitator nodes are untrusted nodes that can still allow communication between trusted nodes if they lie on a path of distance at most between two trusted nodes. In extended-range percolation the extended-range giant component (ERGC) includes trusted nodes connected by paths of trusted and untrusted facilitator nodes. Here, based on a message-passing algorithm, we develop a general theory of extended-range percolation, valid for arbitrary values of as long as the networks are locally treelike. This general framework allows us to investigate the properties of extended-range percolation on interdependent multiplex networks. While the extended-range nature makes multiplex networks more robust, interdependency makes them more fragile. From the interplay between these two effects a rich phase diagram emerges including discontinuous phase transitions and reentrant phases. The theoretical predictions are in excellent agreement with extensive Monte Carlo simulations. The proposed exactly solvable model constitutes a fundamental reference for the study of models defined through properties of extended-range paths.
扩展范围渗滤是一种稳健的渗滤过程,与量子通信问题息息相关。在扩展范围渗滤中,节点可以是可信的,也可以是不可信的。不受信任的促进节点是不受信任的节点,如果它们位于两个受信任节点之间距离最远为 R 的路径上,则仍能允许受信任节点之间进行通信。在扩展范围渗滤(extended-range percolation)中,扩展范围巨型分量(ERGC)包括由可信和不可信促进节点路径连接的可信节点。在此,我们基于消息传递算法,提出了扩展范围渗滤的一般理论,只要网络是局部树状的,该理论对任意 R 值都有效。通过这一一般框架,我们可以研究相互依存的多重网络上的扩展范围渗滤特性。扩展范围的性质使多路网络更加稳健,而相互依赖则使其更加脆弱。这两种效应的相互作用产生了丰富的相图,包括不连续相变和重入相。理论预测与大量的蒙特卡罗模拟非常吻合。所提出的精确可解模型为研究通过扩展范围路径特性定义的模型提供了基本参考。
期刊介绍:
Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.