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Related papers: Critical phenomena in heterogeneous k-core percola…

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k-core percolation is an extension of the concept of classical percolation and is particularly relevant to understand the resilience of complex networks under random damage. A new analytical formalism has been recently proposed to deal with…

Disordered Systems and Neural Networks · Physics 2012-09-19 Davide Cellai , Aonghus Lawlor , Kenneth A. Dawson , James P. Gleeson

Heterogeneous k-core percolation is an extension of a percolation model which has interesting applications to the resilience of networks under random damage. In this model, the notion of node robustness is local, instead of global as in…

Disordered Systems and Neural Networks · Physics 2013-03-08 Davide Cellai , James P. Gleeson

$k$-Core percolation has served as a paradigmatic model of discontinuous percolation for a long time. Recently it was revealed that the order parameter of $k$-core percolation of random networks additionally exhibits critical behavior. Thus…

Statistical Mechanics · Physics 2016-12-21 Deokjae Lee , Minjae Jo , B. Kahng

We develop the theory of the k-core (bootstrap) percolation on uncorrelated random networks with arbitrary degree distributions. We show that the k-core percolation is an unusual, hybrid phase transition with a jump emergence of the k-core…

Statistical Mechanics · Physics 2009-11-11 A. V. Goltsev , S. N. Dorogovtsev , J. F. F. Mendes

The combination of the compactness of networks, featuring small diameters, and their complex architectures results in a variety of critical effects dramatically different from those in cooperative systems on lattices. In the last few years,…

Statistical Mechanics · Physics 2009-11-13 S. N. Dorogovtsev , A. V. Goltsev , J. F. F. Mendes

Random graphs have played an instrumental role in modelling real-world networks arising from the internet topology, social networks, or even protein-interaction networks within cells. Percolation, on the other hand, has been the fundamental…

Probability · Mathematics 2018-09-12 Souvik Dhara

K-core percolation is a fundamental dynamical process in complex networks with applications that span numerous real-world systems. Earlier studies focus primarily on random networks without spatial constraints and reveal intriguing…

Physics and Society · Physics 2024-07-12 Leyang Xue , Shengling Gao , Lazaros K. Gallos , Orr Levy , Bnaya Gross , Zengru Di , Shlomo Havlin

Percolation processes on random networks have been the subject of intense research activity over the last decades: the overall phenomenology of standard percolation on uncorrelated and unclustered topologies is well known. Still some…

Statistical Mechanics · Physics 2024-12-06 Lorenzo Cirigliano , Gábor Timár , Claudio Castellano

The recent proliferation of correlated percolation models---models where the addition of edges/vertices is no longer independent of other edges/vertices---has been motivated by the quest to find discontinuous percolation transitions. The…

Disordered Systems and Neural Networks · Physics 2015-06-05 L. Cao , J. M. Schwarz

We propose the $K$-selective percolation process as a model for the iterative removals of nodes with the specific intermediate degree in complex networks. In the model, a random node with degree $K$ is deactivated one by one until no more…

Disordered Systems and Neural Networks · Physics 2022-02-14 Jung-Ho Kim , K. -I. Goh

Cascading failures in complex systems have been studied extensively using two different models: $k$-core percolation and interdependent networks. We combine the two models into a general model, solve it analytically and validate our…

Physics and Society · Physics 2017-10-04 Nagendra K. Panduranga , Jianxi Gao , Xin Yuan , H. Eugene Stanley , Shlomo Havlin

In many systems consisting of interacting subsystems, the complex interactions between elements can be represented using multilayer networks. However percolation, key to understanding connectivity and robustness, is not trivially…

Disordered Systems and Neural Networks · Physics 2020-11-04 G. J. Baxter , R. A. da Costa , S. N. Dorogovtsev , J. F. F. Mendes

Many real-world networks are coupled together to maintain their normal functions. Here we study the robustness of multiplex networks with interdependent and interconnected links under k-core percolation, where a node fails when it connects…

Physics and Society · Physics 2021-05-26 Kexian Zheng , Ying Liu , Yang Wang , Wei Wang

We introduce the heterogeneous-$k$-core, which generalizes the $k$-core, and contrast it with bootstrap percolation. Vertices have a threshold $k_i$ which may be different at each vertex. If a vertex has less than $k_i$ neighbors it is…

Statistical Mechanics · Physics 2011-07-04 G. J. Baxter , S. N. Dorogovtsev , A. V. Goltsev , J. F. F. Mendes

Higher order interactions are increasingly recognised as a fundamental aspect of complex systems ranging from the brain to social contact networks. Hypergraph as well as simplicial complexes capture the higher-order interactions of complex…

Physics and Society · Physics 2021-09-23 Hanlin Sun , Ginestra Bianconi

The $k$-core percolation is a fundamental structural transition in complex networks. Through the analysis of the size jump behaviors of $k$-core in the evolution process of networks, we confirm that $k$-core percolation is continuous phase…

Statistical Mechanics · Physics 2017-10-10 Yong Zhu , Xiaosong Chen

Percolation is an emblematic model to assess the robustness of interconnected systems when some of their components are corrupted. It is usually investigated in simple scenarios, such as the removal of the system's units in random order, or…

Statistical Mechanics · Physics 2021-05-03 Oriol Artime , Manlio De Domenico

We describe the critical behavior of weak multiplex percolation, a generalization of percolation to multiplex or interdependent networks. A node can determine its active or inactive status simply by referencing neighboring nodes. This is…

Disordered Systems and Neural Networks · Physics 2020-09-09 G. J. Baxter , R. A. da Costa , S. N. Dorogovtsev , J. F. F. Mendes

We generalize the theory of k-core percolation on complex networks to k-core percolation on multiplex networks, where k=(k_a, k_b, ...). Multiplex networks can be defined as networks with a set of vertices but different types of edges, a,…

Disordered Systems and Neural Networks · Physics 2014-10-08 N. Azimi-Tafreshi , J. Gomez-Gardenes , S. N. Dorogovtsev

As a fundamental structural transition in complex networks, core percolation is related to a wide range of important problems. Yet, previous theoretical studies of core percolation have been focusing on the classical Erd\H{o}s-R\'enyi…

Statistical Mechanics · Physics 2013-01-01 Yang-Yu Liu , Endre Csóka , Haijun Zhou , Márton Pósfai
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