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The stochastic addition of either vertices or connections in a network leads to the observation of the percolation transition, a structural change with the appearance of a connected component encompassing a finite fraction of the system.…

物理与社会 · 物理学 2016-06-23 Filippo Radicchi , Claudio Castellano

We propose an approach to calculate the critical percolation threshold for finite-sized Erdos-Renyi digraphs using minimal Hamiltonian cycles. We obtain an analytically exact result, valid non-asymptotically for all graph sizes, which…

统计力学 · 物理学 2014-05-12 Michelle Rudolph-Lilith , Lyle E. Muller

We consider a network, bonds of which are being sequentially removed; that is done at random, but conditioned on the system remaining connected (Self-Repairing Bond Percolation SRBP). This model is the simplest representative of a class of…

无序系统与神经网络 · 物理学 2009-11-10 A. S. Ioselevich , D. S. Lyubshin

In recent years, neural networks have increasingly been employed to identify critical points of phase transitions. For the tricritical directed percolation model, its steady-state configurations encompass both first-order and second-order…

统计力学 · 物理学 2024-11-08 Feng Gao , Jianmin Shen , Shanshan Wang , Wei Li , Dian Xu

A random growth lattice filling model of percolation with touch and stop growth rule is developed and studied numerically on a two dimensional square lattice. Nucleation centers are continuously added one at a time to the empty sites and…

统计力学 · 物理学 2018-06-13 Bappaditya Roy , S. B. Santra

The one-dimensional kinetic contact process with parallel update is introduced and studied by the mean-field approximation and Monte Carlo (MC) simulations. Contrary to a more conventional scenario with single active phase for 1d models…

统计力学 · 物理学 2015-03-17 P. N. Timonin , G. Y. Chitov

Percolation in complex networks is viewed as both: a process that mimics network degradation and a tool that reveals peculiarities of the underlying network structure. During the course of percolation, networks undergo non-trivial…

物理与社会 · 物理学 2019-02-05 Ivan Kryven

We consider a natural variant of the Erd\H{o}s-R\'enyi random graph process in which $k$ vertices are special and are never put into the same connected component. The model is natural and interesting on its own, but is actually inspired by…

组合数学 · 数学 2018-06-29 Adam Logan , Mike Molloy , Pawel Pralat

How the giant component of a network disappears under attacking nodes or links addresses a key aspect of network robustness, which can be framed into percolation problems. Various strategies to select the node to be deactivated have been…

物理与社会 · 物理学 2020-07-22 Jung-Ho Kim , Soo-Jeong Kim , K. -I. Goh

We study the emergence of a giant component in a spatial network where the distribution of the metric distances between the nodes is scale-invariant, and the interaction between the nodes has a long-range power-law behavior. The nodes are…

统计力学 · 物理学 2022-07-29 Guy Amit , Dana Ben Porath , Sergey V. Buldyrev , Amir Bashan

We study the percolation properties of graph partitioning on random regular graphs with N vertices of degree $k$. Optimal graph partitioning is directly related to optimal attack and immunization of complex networks. We find that for any…

统计力学 · 物理学 2007-10-07 Gerald Paul , Reuven Cohen , Sameet Sreenivasan , Shlomo Havlin , H. Eugene Stanley

Percolation on complex networks has been used to study computer viruses, epidemics, and other casual processes. Here, we present conditions for the existence of a network specific, observation dependent, phase transition in the updated…

机器学习 · 统计学 2009-05-15 Patrick L. Harrington , Alfred O. Hero

We study tolerance and topology of random scale-free networks under attack and defense strategies that depend on the degree k of the nodes. This situation occurs, for example, when the robustness of a node depends on its degree or in an…

无序系统与神经网络 · 物理学 2009-11-11 Lazaros K. Gallos , Reuven Cohen , Panos Argyrakis , Armin Bunde , Shlomo Havlin

We propose a maximally disassortative (MD) network model which realizes a maximally negative degree-degree correlation, and study its percolation transition to discuss the effect of a strong degree-degree correlation on the percolation…

物理与社会 · 物理学 2020-02-11 Shogo Mizutaka , Takehisa Hasegawa

We study scale-free networks constructed via a cooperative Achlioptas growth process. Links between nodes are introduced in the network in order to produce a scale-free graph with given exponent lambda for the degree distribution, but the…

物理与社会 · 物理学 2009-10-13 Filippo Radicchi , Santo Fortunato

The physics of $k$-core percolation pertains to those systems whose constituents require a minimum number of $k$ connections to each other in order to participate in any clustering phenomenon. Examples of such a phenomenon range from…

无序系统与神经网络 · 物理学 2009-11-11 A. B. Harris , J. M. Schwarz

We consider propagation models that describe the spreading of an attribute, called "damage", through the nodes of a random network. In some systems, the average fraction of nodes that remain undamaged vanishes in the large system limit, a…

元胞自动机与格子气 · 物理学 2007-05-23 Björn Samuelsson , Joshua E. S. Socolar

We revisit the phase transition for percolation on randomly stretched lattices. Starting with the usual square grid, keep all vertices untouched while erasing edges according as follows: for every integer $i$, the entire column of vertical…

概率论 · 数学 2023-11-27 Marcelo R. Hilário , Marcos Sá , Remy Sanchis , Augusto Teixeira

Percolation has long served as a model for diverse phenomena and systems. The percolation transition, that is, the formation of a giant cluster on a macroscopic scale, is known as one of the most robust continuous transitions. Recently,…

统计力学 · 物理学 2016-12-08 Deokjae Lee , Young Sul Cho , Byungnam Kahng

Multiplex networks describe a large variety of complex systems including infrastructures, transportation networks and biological systems. Most of these networks feature a significant link overlap. It is therefore of particular importance to…

物理与社会 · 物理学 2016-09-07 Davide Cellai , Sergey N. Dorogovtsev , Ginestra Bianconi