多路复用
渗透(认知心理学)
计算机科学
相互依存的网络
稳健性(进化)
脆弱性
相互依存
复杂网络
复杂系统
渗流理论
相变
分布式计算
集合(抽象数据类型)
统计物理学
理论计算机科学
拓扑(电路)
物理
人工智能
数学
凝聚态物理
心理学
生物信息学
神经科学
生物
万维网
组合数学
基因
热力学
程序设计语言
法学
生物化学
政治学
作者
Davide Cellai,Eduardo López,Jie Zhou,James P. Gleeson,Ginestra Bianconi
出处
期刊:Physical Review E
[American Physical Society]
日期:2013-11-25
卷期号:88 (5): 052811-052811
被引量:252
标识
DOI:10.1103/physreve.88.052811
摘要
From transportation networks to complex infrastructures, and to social and communication networks, a large variety of systems can be described in terms of multiplexes formed by a set of nodes interacting through different networks (layers). Multiplexes may display an increased fragility with respect to the single layers that constitute them. However, so far the overlap of the links in different layers has been mostly neglected, despite the fact that it is an ubiquitous phenomenon in most multiplexes. Here, we show that the overlap among layers can improve the robustness of interdependent multiplex systems and change the critical behavior of the percolation phase transition in a complex way.
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