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We study percolation as a critical phenomenon on a multifractal support. The scaling exponents of the the infinite cluster size ($\beta$ exponent) and the fractal dimension of the percolation cluster ($d_f$) are quantities that seem do not…

Statistical Mechanics · Physics 2007-05-23 J. E. Freitas , G. Corso , L. S. Lucena

Bootstrap percolation on a graph iteratively enlarges a set of occupied sites by adjoining points with at least $\theta$ occupied neighbors. The initially occupied set is random, given by a uniform product measure, and we say that spanning…

Probability · Mathematics 2015-05-14 Janko Gravner , David Sivakoff

Percolation refers to the emergence of a giant connected cluster in a disordered system when the number of connections between nodes exceeds a critical value. The percolation phase transitions were believed to be continuous until recently…

Disordered Systems and Neural Networks · Physics 2015-02-13 R. A. da Costa , S. N. Dorogovtsev , A. V. Goltsev , J. F. F. Mendes

The internal organization of complex networks often has striking consequences on either their response to external perturbations or on their dynamical properties. In addition to small-world and scale-free properties, clustering is the most…

Physics and Society · Physics 2014-05-26 Pol Colomer-de-Simon , Marian Boguna

Dependency links in single-layer networks offer a convenient way of modeling nonlocal percolation effects in networked systems where certain pairs of nodes are only able to function together. We study the percolation properties of the weak…

Statistical Mechanics · Physics 2021-03-16 Gábor Timár , György Kovács , José Fernando F. Mendes

Networks composed from both connectivity and dependency links were found to be more vulnerable compared to classical networks with only connectivity links. Their percolation transition is usually of a first order compared to the second…

Statistical Mechanics · Physics 2015-05-27 Amir Bashan , Roni Parshani , Shlomo Havlin

We investigate bond percolation on the Song-Havlin-Makse (SHM) network, a scale-free tree with a tunable degree exponent and dimensionality. Using a generating function approach, we analytically derive the average size and the fractal…

Statistical Mechanics · Physics 2025-09-03 Kazuki Wataya , Takehisa Hasegawa

We study Bernoulli bond percolation on a random recursive tree of size $n$ with percolation parameter $p(n)$ converging to $1$ as $n$ tends to infinity. The sizes of the percolation clusters are naturally stored in a tree. We prove…

Probability · Mathematics 2016-12-28 Erich Baur

Real networks are vulnerable to random failures and malicious attacks. However, when a node is harmed or damaged, it may remain partially functional, which helps to maintain the overall network structure and functionality. In this paper, we…

Physics and Society · Physics 2022-03-14 L. D. Valdez , L. A. Braunstein

We generalize the directed percolation (DP) model by relaxing the strict directionality of DP such that propagation can occur in either direction but with anisotropic probabilities. We denote the probabilities as $p_{\downarrow}= p \cdot…

Statistical Mechanics · Physics 2012-08-21 Zongzheng Zhou , Ji Yang , Robert M. Ziff , Youjin Deng

We consider a one-dimensional network in which the nodes at Euclidean distance $l$ can have long range connections with a probabilty $P(l) \sim l^{-\delta}$ in addition to nearest neighbour connections. This system has been shown to exhibit…

Statistical Mechanics · Physics 2009-11-07 Parongama Sen , Kinjal Banerjee , Turbasu Biswas

We consider the task of detecting a salient cluster in a sensor network, that is, an undirected graph with a random variable attached to each node. Motivated by recent research in environmental statistics and the drive to compete with the…

Statistics Theory · Mathematics 2013-03-22 Ery Arias-Castro , Geoffrey R. Grimmett

We study existence of percolation in the hierarchical group of order $N$, which is an ultrametric space, and transience and recurrence of random walks on the percolation clusters. The connection probability on the hierarchical group for two…

Probability · Mathematics 2016-02-09 D. A. Dawson , L. G. Gorostiza

In a system of interdependent networks, an initial failure of nodes invokes a cascade of iterative failures that may lead to a total collapse of the whole system in a form of an abrupt first order transition. When the fraction of initial…

Statistical Mechanics · Physics 2014-06-03 Dong Zhou , Amir Bashan , Reuven Cohen , Yehiel Berezin , Nadav Shnerb , Shlomo Havlin

We study phase ordering on networks and we establish a relation between the exponent $a_\chi$ of the aging part of the integrated autoresponse function $\chi_{ag}$ and the topology of the underlying structures. We show that $a_\chi >0$ in…

Statistical Mechanics · Physics 2009-11-11 R. Burioni , D. Cassi , F. Corberi , A. Vezzani

We describe the critical window for percolation in the universality class of sparse growing random graphs. In our models, vertices arrive sequentially and connect independently to each earlier vertex $v$ with probability proportional to a…

Probability · Mathematics 2025-12-23 Joost Jorritsma , Pascal Maillard , Peter Mörters

We consider self-avoiding walk and percolation in $\Zd$, oriented percolation in $\Zd\times\Zp$, and the contact process in $\Zd$, with $p D(\cdot)$ being the coupling function whose range is denoted by $L<\infty$. For percolation, for…

Probability · Mathematics 2007-05-23 Remco van der Hofstad , Akira Sakai

We consider here on-line algorithms for Achlioptas processes. Given a initially empty graph $G$ on $n$ vertices, a random process that at each step selects independently and uniformly at random two edges from the set of non-edges is…

Discrete Mathematics · Computer Science 2014-10-16 Petruţ Cobârzan

We introduce a new type of preferential attachment tree that includes choices in its evolution, like with Achlioptas processes. At each step in the growth of the graph, a new vertex is introduced. Two possible neighbor vertices are selected…

Probability · Mathematics 2014-02-18 Yury Malyshkin , Elliot Paquette

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…

Statistical Mechanics · Physics 2022-07-29 Guy Amit , Dana Ben Porath , Sergey V. Buldyrev , Amir Bashan
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