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Hybrid phase transition into an absorbing state: Percolation and avalanches.
Lee, Deokjae; Choi, S; Stippinger, M; Kertész, J; Kahng, B.
Afiliación
  • Lee D; CCSS, CTP and Department of Physics and Astronomy, Seoul National University, Seoul 08826, Korea.
  • Choi S; CCSS, CTP and Department of Physics and Astronomy, Seoul National University, Seoul 08826, Korea.
  • Stippinger M; Department of Theoretical Physics, Budapest University of Technology and Economics, Budapest H-1111, Hungary.
  • Kertész J; Department of Theoretical Physics, Budapest University of Technology and Economics, Budapest H-1111, Hungary.
  • Kahng B; Center for Network Science, Central European University, Budapest H-1051, Hungary.
Phys Rev E ; 93: 042109, 2016 04.
Article en En | MEDLINE | ID: mdl-27176256
ABSTRACT
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 Erdos-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 ß_{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, ß_{a} and γ_{a}. These two critical behaviors are coupled by a scaling law 1-ß_{m}=γ_{a}.

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Phys Rev E Año: 2016 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Phys Rev E Año: 2016 Tipo del documento: Article