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Related papers: Explosion and distances in scale-free percolation

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We study the spread of information in finite and infinite inhomogeneous spatial random graphs. We assume that each edge has a transmission cost that is a product of an i.i.d. random variable L and a penalty factor: edges between vertices of…

Probability · Mathematics 2020-04-03 Júlia Komjáthy , John Lapinskas , Johannes Lengler

In this paper we study first-passage percolation in the configuration model with empirical degree distribution that follows a power-law with exponent $\tau \in (2,3)$. We assign independent and identically distributed (i.i.d.)\ weights to…

Probability · Mathematics 2018-02-14 Erwin Adriaans , Julia Komjathy

We formulate and study a model for inhomogeneous long-range percolation on $\Zbold^d$. Each vertex $x\in\Zbold^d$ is assigned a non-negative weight $W_x$, where $(W_x)_{x\in\Zbold^d}$ are i.i.d.\ random variables. Conditionally on the…

Probability · Mathematics 2011-03-02 Maria Deijfen , Remco van der Hofstad , Gerard Hooghiemstra

We study in this paper, the first passage percolation on a random graph model, the configuration model. We first introduce, the notions of weighted diameter, which is the maximum of the weighted lengths of all optimal paths between any two…

Probability · Mathematics 2020-09-09 Thomas Mountford , Jacques Saliba

One-dependent first passage percolation is a spreading process on a graph where the transmission time through each edge depends on the direct surroundings of the edge. In particular, the classical iid transmission time $L_{xy}$ is…

Probability · Mathematics 2024-03-26 Júlia Komjáthy , John Lapinskas , Johannes Lengler , Ulysse Schaller

We establish the sharpness of the percolation phase transition for a class of infinite-range weighted random connection models. The vertex set is given by a marked Poisson point process on $\mathbb{R}^d$ with intensity $\lambda>0$, where…

Probability · Mathematics 2025-12-29 Alejandro Caicedo , Leonid Kolesnikov

We consider the continuous-time frog model on $\mathbb{Z}$. At time $t = 0$, there are $\eta (x)$ particles at $x\in \mathbb{Z}$, each of which is represented by a random variable. In particular, $(\eta(x))_{x \in \mathbb{Z} }$ is a…

Probability · Mathematics 2023-09-28 Viktor Bezborodov , Luca Di Persio , Peter Kuchling

We prove non-universality results for first-passage percolation on the configuration model with i.i.d. degrees having infinite variance. We focus on the weight of the optimal path between two uniform vertices. Depending on the properties of…

Probability · Mathematics 2015-06-04 Enrico Baroni , Remco van der Hofstad , Julia Komjathy

Let $T$ be an infinite rooted tree with weights $w_e$ assigned to its edges. Denote by $m_n(T)$ the minimum weight of a path from the root to a node of the $n$th generation. We consider the possible behaviour of $m_n(T)$ with focus on the…

Probability · Mathematics 2014-11-18 Omid Amini , Luc Devroye , Simon Griffiths , Neil Olver

Consider a branching random walk on $\mathbb{R}$, with offspring distribution Z and nonnegative displacement distribution W. We say that explosion occurs if an infinite number of particles may be found within a finite distance of the…

Probability · Mathematics 2013-06-17 Omid Amini , Luc Devroye , Simon Griffiths , Neil Olver

We investigate spatial random graphs defined on the points of a Poisson process in $d$-dimensional space, which combine scale-free degree distributions and long-range effects. Every Poisson point is assigned an independent weight. Given the…

Probability · Mathematics 2024-04-23 Peter Gracar , Lukas Lüchtrath , Peter Mörters

The state space of our model is the Euclidean space in dimension d = 2. Simultaneously, from all points of a homogeneous Poisson point process, we let grow independent and identically distributed random continuum paths. Each path stops…

Probability · Mathematics 2024-09-25 David Coupier , David Dereudre , Jean-Baptiste Gouéré

In this Letter, we show that the explosive percolation is a novel continuous phase transition. The order-parameter-distribution histogram at the percolation threshold is studied in Erd\H{o}s-R\'{e}nyi networks, scale-free networks, and…

Disordered Systems and Neural Networks · Physics 2012-02-22 Liang Tian , Da-Ning Shi

Scale-free percolation is a percolation model on $\mathbb{Z}^d$ which can be used to model real-world networks. We prove bounds for the graph distance in the regime where vertices have infinite degrees. We fully characterize transience vs.…

Probability · Mathematics 2018-01-11 Markus Heydenreich , Tim Hulshof , Joost Jorritsma

The explosive percolation problem on the complete graph is investigated via extensive numerical simulations. We obtain the cluster-size distribution at the moment when the cluster size heterogeneity becomes maximum. The distribution is…

Statistical Mechanics · Physics 2015-05-27 Hyun Keun Lee , Beom Jun Kim , Hyunggyu Park

We consider inhomogeneous spatial random graphs on the real line. Each vertex carries an i.i.d. weight and edges are drawn such that short edges and edges to vertices with large weights occur with higher probability. This allows the study…

Probability · Mathematics 2025-09-08 Peter Gracar , Lukas Lüchtrath , Christian Mönch

We identify the upper large deviation probability for the number of edges in scale-free geometric random graph models as the space volume goes to infinity. Our result covers the models of scale-free percolation, the Boolean model with…

We consider the following oriented percolation model of $\mathbb {N} \times \mathbb{Z}^d$: we equip $\mathbb {N}\times \mathbb{Z}^d$ with the edge set $\{[(n,x),(n+1,y)] | n\in \mathbb {N}, x,y\in \mathbb{Z}^d\}$, and we say that each edge…

Probability · Mathematics 2012-02-08 Hubert Lacoin

We study the phenomenon of information propagation on mobile geometric scale-free random graphs, where vertices instantaneously pass on information to all other vertices in the same connected component. The graphs we consider are…

Probability · Mathematics 2024-04-24 Peter Gracar , Arne Grauer

We generalize the random graph evolution process of Bohman, Frieze, and Wormald [T. Bohman, A. Frieze, and N. C. Wormald, Random Struct. Algorithms, 25, 432 (2004)]. Potential edges, sampled uniformly at random from the complete graph, are…

Disordered Systems and Neural Networks · Physics 2011-03-31 Wei Chen , Raissa M. D'Souza
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