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The growth of two-dimensional lattice bond percolation clusters through a cooperative Achlioptas-type of process, where the choice of which bond to occupy next depends upon the masses of the clusters it connects, is shown to go through an…

Disordered Systems and Neural Networks · Physics 2009-07-03 Robert M. Ziff

We propose a simple generalization of the explosive percolation process [Achlioptas et al., Science 323, 1453 (2009)], and investigate its structural and transport properties. In this model, at each step, a set of q unoccupied bonds is…

Statistical Mechanics · Physics 2015-05-20 Jose S. Andrade , Hans J. Herrmann , Andre A. Moreira , Claudio L. N. Oliveira

In the usual Achlioptas processes the smallest clusters of a few randomly chosen ones are selected to merge together at each step. The resulting aggregation process leads to the delayed birth of a giant cluster and the so-called explosive…

Disordered Systems and Neural Networks · Physics 2015-04-27 R. A. da Costa , S. N. Dorogovtsev , A. V. Goltsev , J. F. F. Mendes

We introduce a cluster growth process that provides a clear connection between equilibrium statistical mechanics and an explosive percolation model similar to the one recently proposed by Achlioptas et al. [Science 323, 1453 (2009)]. We…

Statistical Mechanics · Physics 2015-05-14 A. A. Moreira , E. A. Oliveira , S. D. S. Reis , H. J. Herrmann , J. S. Andrade

Clusters generated by the product-rule growth model of Achlioptas, D'Souza, and Spencer on a two-dimensional square lattice are shown to obey qualitatively different scaling behavior than standard (random growth) percolation. The threshold…

Disordered Systems and Neural Networks · Physics 2013-05-29 Robert M. Ziff

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

After the Achlioptas process (AP), which yields the so-called explosive percolation, was introduced, the number of papers on percolation phenomena has been literally exploding. Most of the existing studies, however, have focused only on the…

Disordered Systems and Neural Networks · Physics 2015-01-16 Woo Seong Jo , Su Do Yi , Beom Jun Kim , Seung-Woo Son

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

We study the transport properties of directed percolation clusters at the upper critical dimension $d_{c} = 4+1$, where critical fluctuations induce logarithmic corrections to the leading (mean-field) scaling behavior. Employing field…

Statistical Mechanics · Physics 2009-11-10 Olaf Stenull , Hans-Karl Janssen

We study a process termed "agglomerative percolation" (AP) in two dimensions. Instead of adding sites or bonds at random, in AP randomly chosen clusters are linked to all their neighbors. As a result the growth process involves a diverging…

Statistical Mechanics · Physics 2015-03-17 Claire Christensen , Golnoosh Bizhani , Seung-Woo Son , Maya Paczuski , Peter Grassberger

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…

Physics and Society · Physics 2009-10-13 Filippo Radicchi , Santo Fortunato

The square lattice with central forces between nearest neighbors is isostatic with a subextensive number of floppy modes. It can be made rigid by the random addition of next-nearest neighbor bonds. This constitutes a rigidity percolation…

Statistical Mechanics · Physics 2011-12-06 Wouter G. Ellenbroek , Xiaoming Mao

The random-cluster model, a correlated bond percolation model, unifies a range of important models of statistical mechanics in one description, including independent bond percolation, the Potts model and uniform spanning trees. By…

Statistical Mechanics · Physics 2016-01-28 Eren Metin Elçi , Martin Weigel , Nikolaos G. Fytas

The Achlioptas process, which suppresses the aggregation of large-sized clusters, can exhibit an explosive percolation (EP) where the order parameter emerges abruptly yet continuously in the thermodynamic limit. It is known that EP is…

Statistical Mechanics · Physics 2024-08-19 Young Sul Cho

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

Explosive percolation in the Achlioptas process, which has attracted much research attention, is known to exhibit a rich variety of critical phenomena that are anomalous from the perspective of continuous phase transitions. Hereby, we show…

Statistical Mechanics · Physics 2023-04-06 Ming Li , Junfeng Wang , Youjin Deng

In this article, we investigate explosive bond percolation (EBP) with product rule, formally known as Achlioptas process, on a scale-free multifractal weighted planar stochastic lattice (WPSL). One of the key features of the EBP transition…

Statistical Mechanics · Physics 2017-04-26 M. K. Hassan , M. M. Rahman

We consider a percolation process in which $k$ points separated by a distance proportional to system size $L$ simultaneously connect together ($k>1$), or a single point at the center of a system connects to the boundary ($k=1$), through…

Disordered Systems and Neural Networks · Physics 2020-07-08 S. S. Manna , Robert M. Ziff

Coherent transport promises to be the basis for an emerging new technology. Notwithstanding, a mechanistic understanding of the fundamental principles behind optimal scattering media is still missing. Here, complex network analysis is…

Quantum Physics · Physics 2013-12-09 Stefano Mostarda , Federico Levi , Diego Prada-Gracia , Florian Mintert , Francesco Rao

Motivated by the importance of geometric information in real systems, a new model for long-range correlated percolation in link-adding networks is proposed with the connecting probability decaying with a power-law of the distance on the…

Disordered Systems and Neural Networks · Physics 2012-04-09 Chen-Ping Zhu , Long-Tao Jia , Beom Jun Kim , Bing-Hong Wang , H. E. Stanley
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