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Critical phenomena in heterogeneous k-core percolation.
Cellai, Davide; Lawlor, Aonghus; Dawson, Kenneth A; Gleeson, James P.
Affiliation
  • Cellai D; MACSI, Department of Mathematics and Statistics, University of Limerick, Limerick, Ireland.
Article de En | MEDLINE | ID: mdl-23496486
ABSTRACT
k-core percolation is a percolation model which gives a notion of network functionality and has many applications in network science. In analyzing the resilience of a network under random damage, an extension of this model is introduced, allowing different vertices to have their own degree of resilience. This extension is named heterogeneous k-core percolation and it is characterized by several interesting critical phenomena. Here we analytically investigate binary mixtures in a wide class of configuration model networks and categorize the different critical phenomena which may occur. We observe the presence of critical and tricritical points and give a general criterion for the occurrence of a tricritical point. The calculated critical exponents show cases in which the model belongs to the same universality class of facilitated spin models studied in the context of the glass transition.
Sujet(s)
Recherche sur Google
Collection: 01-internacional Base de données: MEDLINE Sujet principal: Algorithmes / Modèles statistiques / Transition de phase / Modèles chimiques Type d'étude: Prognostic_studies / Risk_factors_studies Langue: En Journal: Phys Rev E Stat Nonlin Soft Matter Phys Sujet du journal: BIOFISICA / FISIOLOGIA Année: 2013 Type de document: Article Pays d'affiliation: Irlande
Recherche sur Google
Collection: 01-internacional Base de données: MEDLINE Sujet principal: Algorithmes / Modèles statistiques / Transition de phase / Modèles chimiques Type d'étude: Prognostic_studies / Risk_factors_studies Langue: En Journal: Phys Rev E Stat Nonlin Soft Matter Phys Sujet du journal: BIOFISICA / FISIOLOGIA Année: 2013 Type de document: Article Pays d'affiliation: Irlande
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