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It is widely believed that certain simple modifications of the random graph process lead to discontinuous phase transitions. In particular, starting with the empty graph on $n$ vertices, suppose that at each step two pairs of vertices are…

Probability · Mathematics 2012-08-22 Oliver Riordan , Lutz Warnke

In Achlioptas processes, starting from an empty graph, in each step two potential edges are chosen uniformly at random, and using some rule one of them is selected and added to the evolving graph. Although the evolution of such `local'…

Probability · Mathematics 2017-12-12 Oliver Riordan , Lutz Warnke

The evolution of the largest component has been studied intensely in a variety of random graph processes, starting in 1960 with the Erd\"os-R\'enyi process. It is well known that this process undergoes a phase transition at n/2 edges when,…

Discrete Mathematics · Computer Science 2011-04-08 Konstantinos Panagiotou , Reto Spöhel , Angelika Steger , Henning Thomas

Achlioptas processes are a class of dynamically grown random graphs where on each step several edges are chosen at random but only one is added. The sum rule, product rule, and bounded size rules have been extensively studied. Here we…

Probability · Mathematics 2023-05-11 Braden Hoagland , Rick Durrett

In Achlioptas processes, starting from an empty graph, in each step two potential edges are chosen uniformly at random, and using some rule one of them is selected and added to the evolving graph. The evolution of the rescaled size of the…

Probability · Mathematics 2022-06-01 Oliver Riordan , Lutz Warnke

Networks are ubiquitous in diverse real-world systems. Many empirical networks grow as the number of nodes increases with time. Percolation transitions in growing random networks can be of infinite order. However, when the growth of large…

Physics and Society · Physics 2021-04-28 Soo Min Oh , Seung-Woo Son , Byungnam Kahng

In an Achlioptas process, starting with a graph that has n vertices and no edge, in each round $d \geq 1$ edges are drawn uniformly at random, and using some rule exactly one of them is chosen and added to the evolving graph. For the class…

Understanding what types of phenomena lead to discontinuous phase transitions in the connectivity of random networks is an outstanding challenge. Here we show that a simple stochastic model of graph evolution leads to a discontinuous…

Disordered Systems and Neural Networks · Physics 2015-05-28 Wei Chen , Zhiming Zheng , Raissa M. D'Souza

Percolation is one of the most studied processes in statistical physics. A recent paper by Achlioptas et al. [Science 323, 1453 (2009)] has shown that the percolation transition, which is usually continuous, becomes discontinuous…

Physics and Society · Physics 2010-03-24 Filippo Radicchi , Santo Fortunato

We consider a class of percolation models, called Achlioptas processes, discussed in [Science 323, 1453 (2009)] and [Science 333, 322 (2011)]. For these the evolution of the order parameter (the rescaled size of the largest connected…

Statistical Mechanics · Physics 2012-07-27 Oliver Riordan , Lutz Warnke

It has been recently shown that the percolation transition is discontinuous in Erd\H{o}s-R\'enyi networks and square lattices in two dimensions under the Achlioptas Process (AP). Here, we show that when the structure is highly heterogeneous…

Statistical Mechanics · Physics 2015-05-13 Y. S. Cho , J. S. Kim , J. Park , B. Kahng , D. Kim

We study the percolation transition in growing networks under an Achlioptas process (AP). At each time step, a node is added in the network and, with the probability $\delta$, a link is formed between two nodes chosen by an AP. We find that…

Statistical Mechanics · Physics 2013-08-07 Su Do Yi , Woo Seong Jo , Beom Jun Kim , Seung-Woo Son

In a new type of percolation phase transition, which was observed in a set of non-equilibrium models, each new connection between vertices is chosen from a number of possibilities by an Achlioptas-like algorithm. This causes preferential…

Disordered Systems and Neural Networks · Physics 2015-06-18 R. A. da Costa , S. N. Dorogovtsev , A. V. Goltsev , J. F. F. Mendes

Random graph models with limited choice have been studied extensively with the goal of understanding the mechanism of the emergence of the giant component. One of the standard models are the Achlioptas random graph processes on a fixed set…

Probability · Mathematics 2012-12-24 Shankar Bhamidi , Amarjit Budhiraja , Xuan Wang

The percolation phase transitions of two-dimensional lattice networks under a generalized Achlioptas process (GAP) are investigated. During the GAP, two edges are chosen randomly from the lattice and the edge with minimum product of the two…

Statistical Mechanics · Physics 2012-03-02 Maoxin Liu , Jingfang Fan , Liangsheng Li , Xiaosong Chen

As a generation of the classical percolation, clique percolation focuses on the connection of cliques in a graph, where the connection of two $k$-cliques means that they share at least $l<k$ vertices. In this paper, we develop a theoretical…

Statistical Mechanics · Physics 2015-10-09 Ming Li , Youjin Deng , Bing-Hong Wang

Using the finite-size scaling, we have investigated the percolation phase transitions of evolving random networks under a generalized Achlioptas process (GAP). During this GAP, the edge with minimum product of two connecting cluster sizes…

Statistical Mechanics · Physics 2012-01-13 Jingfang Fan , Maoxin Liu , Liangsheng Li , Xiaosong Chen

The location and nature of the percolation transition in random networks is a subject of intense interest. Recently, a series of graph evolution processes have been introduced that lead to discontinuous percolation transitions where the…

Statistical Mechanics · Physics 2015-06-17 Wei Chen , Xueqi Cheng , Zhiming Zheng , Ning Ning Chung , Raissa M. D'Souza , Jan Nagler

We investigate variations of the well-known Achlioptas percolation problem, which uses the method of probing sites when building up a lattice system, or probing links when building a network, ultimately resulting in the delay of the…

Computational Physics · Physics 2014-11-17 Paraskevas Giazitzidis , Isak Avramov , Panos Argyrakis

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
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