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Related papers: Bootstrap percolation on the random graph $G_{n,p}…

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We consider a class of random, weighted networks, obtained through a redefinition of patterns in an Hopfield-like model and, by performing percolation processes, we get information about topology and resilience properties of the networks…

Statistical Mechanics · Physics 2015-05-30 Elena Agliari , Claudia Cioli , Enore Guadagnini

We study a new geometric bootstrap percolation model, line percolation, on the $d$-dimensional integer grid $[n]^d$. In line percolation with infection parameter $r$, infection spreads from a subset $A\subset [n]^d$ of initially infected…

Probability · Mathematics 2017-06-06 Paul Balister , Béla Bollobás , Jonathan Lee , Bhargav Narayanan

Given two independent Poisson point processes $\Phi^{(1)},\Phi^{(2)}$ in $R^d$, the continuum AB percolation model is the graph with points of $\Phi^{(1)}$ as vertices and with edges between any pair of points for which the intersection of…

Probability · Mathematics 2010-12-20 Srikanth K. Iyer , D. Yogeshwaran

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…

Physics and Society · Physics 2019-02-05 Ivan Kryven

We introduce and study a new percolation model, inspired by recent works on jigsaw percolation, graph bootstrap percolation, and percolation in polluted environments. Start with an oriented graph $G_0$ of initially occupied edges on $n$…

Probability · Mathematics 2025-11-18 Janko Gravner , Brett Kolesnik

We consider a slight modification of the frog model. For a given graph, each vertex has $\mathrm{Poisson}(\lambda)$ particles (or frogs). At time zero, only the particles at the origin are active, and all the other particles are sleeping.…

Probability · Mathematics 2026-01-27 Omer Angel , Daniel de la Riva , Jonathan Hermon , Yuliang Shi

We say that a graph $G=(V,E)$ on $n$ vertices is a $\beta$-expander for some constant $\beta>0$ if every $U\subseteq V$ of cardinality $|U|\leq \frac{n}{2}$ satisfies $|N_G(U)|\geq \beta|U|$ where $N_G(U)$ denotes the neighborhood of $U$.…

Combinatorics · Mathematics 2008-11-30 Sonny Ben-Shimon , Michael Krivelevich

In 2-neighborhood bootstrap percolation on a graph $G$, an infection spreads according to the following deterministic rule: infected vertices of $G$ remain infected forever and in consecutive rounds healthy vertices with at least two…

Computational Complexity · Computer Science 2015-08-28 Thiago Braga Marcilon , Rudini Menezes Sampaio

We examine bootstrap percolation on a regular (b+1)-ary tree with initial law given by Bernoulli(p). The sites are updated according to the usual rule: a vacant site becomes occupied if it has at least theta occupied neighbors, occupied…

Probability · Mathematics 2009-09-29 Marek Biskup , Roberto H. Schonmann

Consider a uniform expanders family G_n with a uniform bound on the degrees. It is shown that for any p and c>0, a random subgraph of G_n obtained by retaining each edge, randomly and independently, with probability p, will have at most one…

Probability · Mathematics 2007-05-23 Noga Alon , Itai Benjamini , Alan Stacey

The $r$-neighbour bootstrap percolation process on a graph $G$ starts with an initial set $A_0$ of "infected" vertices and, at each step of the process, a healthy vertex becomes infected if it has at least $r$ infected neighbours (once a…

Combinatorics · Mathematics 2017-11-03 Natasha Morrison , Jonathan A. Noel

Graph-bootstrap percolation, also known as weak saturation, was introduced by Bollob\'as in 1968. In this process, we start with initial "infected" set of edges $E_0$, and we infect new edges according to a predetermined rule. Given a graph…

Combinatorics · Mathematics 2019-07-11 József Balogh , Gal Kronenberg , Alexey Pokrovskiy , Tibor Szabó

We study a system of random walks, known as the frog model, starting from a profile of independent Poisson($\lambda$) particles per site, with one additional active particle planted at some vertex $\mathbf{o}$ of a finite connected simple…

Probability · Mathematics 2025-07-08 Itai Benjamini , Luiz Renato Fontes , Jonathan Hermon , Fabio Prates Machado

The frog model is a stochastic model for the spreading of an epidemic on a graph, in which a dormant particle starts to perform a simple random walk on the graph and to awake other particles, once it becomes active. We study two versions of…

Probability · Mathematics 2020-01-29 Elcio Lebensztayn , Mario Andres Estrada

We study the percolation time of the $r$-neighbour bootstrap percolation model on the discrete torus $(\Z/n\Z)^d$. For $t$ at most a polylog function of $n$ and initial infection probabilities within certain ranges depending on $t$, we…

Probability · Mathematics 2013-08-15 Béla Bollobás , Paul Smith , Andrew J. Uzzell

We determine the asymptotic size of the largest component in the $2$-type binomial random graph $G(\mathbf{n},P)$ near criticality using a refined branching process approach. In $G(\mathbf{n},P)$ every vertex has one of two types, the…

Probability · Mathematics 2015-08-14 Mihyun Kang , Christoph Koch , Angélica Pachón

Let $(G_n) = \left((V_n,E_n)\right)$ be a sequence of finite connected vertex-transitive graphs with uniformly bounded vertex degrees such that $\lvert V_n \rvert \to \infty$ as $n \to \infty$. We say that percolation on $G_n$ has a sharp…

Probability · Mathematics 2024-08-23 Philip Easo

In modified two-neighbour bootstrap percolation in two dimensions each site of $\mathbb Z^2$ is initially independently infected with probability $p$ and on each discrete time step one additionally infects sites with at least two…

Probability · Mathematics 2024-01-31 Ivailo Hartarsky

This paper is dedicated to the study of the interaction between dynamical systems and percolation models, with views towards the study of viral infections whose virus mutate with time. Recall that r-bootstrap percolation describes a…

Populations and Evolution · Quantitative Biology 2020-04-08 Yuyuan Luo , Laura P. Schaposnik

Assume that you are given a graph $G=(V,E)$ with an initial coloring, where each node is black or white. Then, in discrete-time rounds all nodes simultaneously update their color following a predefined deterministic rule. This process is…

Data Structures and Algorithms · Computer Science 2019-01-18 Ahad N. Zehmakan