Physical review. E · 2016 · 75 citations · 26 references
Natural SciencesPhysicsComplex SystemsCondensed Matter PhysicsStochastic ProcessesCritical PhenomenaDisordered SystemsPercolation TheoryPhase TransitionsStatistical MechanicsStochastic NetworksAvalanchesCritical BehaviorCritical FluctuationsInterdependent Network PercolationInterlayer CouplingPercolationPercolation In Random MediaPercolation Transition
Interdependent networks are more fragile under random attacks than simplex networks, because interlayer dependencies lead to cascading failures and finally to a sudden collapse. This is a hybrid phase transition (HPT), meaning that at the transition point the order parameter has a jump but there are also critical phenomena related to it. Here we study these phenomena on the Erdős-Rényi and the two-dimensional interdependent networks and show that the hybrid percolation transition exhibits two kinds of critical behaviors: divergence of the fluctuations of the order parameter and power-law size distribution of finite avalanches at a transition point. At the transition point global or "infinite" avalanches occur, while the finite ones have a power law size distribution; thus the avalanche statistics also has the nature of a HPT. The exponent β_{m} of the order parameter is 1/2 under general conditions, while the value of the exponent γ_{m} characterizing the fluctuations of the order parameter depends on the system. The critical behavior of the finite avalanches can be described by another set of exponents, β_{a} and γ_{a}. These two critical behaviors are coupled by a scaling law: 1-β_{m}=γ_{a}.
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