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相关论文: Discontinuous emergence of a giant cluster in asso…

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Percolation transition (PT) means the formation of a macroscopic-scale large cluster, which exhibits a continuous transition. However, when the growth of large clusters is globally suppressed, the type of PT is changed to a discontinuous…

统计力学 · 物理学 2021-05-24 K. Choi , Wonjun Choi , B. Kahng

We investigate the onset of the discontinuous percolation transition in small-world hyperbolic networks by studying the systems-size scaling of the typical largest cluster approaching the transition, $p\nearrow p_{c}$. To this end, we…

统计力学 · 物理学 2014-08-01 Vijay Singh , Stefan Boettcher

It is widely believed that fractality of complex networks origins from hub repulsion behaviors (anticorrelation or disassortativity), which means large degree nodes tend to connect with small degree nodes. This hypothesis was demonstrated…

物理与社会 · 物理学 2013-11-14 Li Kuang , Bojin Zheng , Deyi Li , Yuanxiang Li , Yu Sun

We analyze a simple model for growing tree networks and find that although it never percolates, there is an anomalously large cluster at finite size. We study the growth of both the maximal cluster and the cluster containing the original…

统计力学 · 物理学 2007-05-23 David Lancaster

We develop a theoretical approach to percolation in random clustered networks. We find that, although clustering in scale-free networks can strongly affect some percolation properties, such as the size and the resilience of the giant…

无序系统与神经网络 · 物理学 2009-11-11 M. Angeles Serrano , Marian Boguna

We discuss the behavior of large ensembles of phase oscillators networking via scale-free topologies in the presence of a positive correlation between the oscillators' natural frequencies and network's degrees. In particular, we show that…

适应与自组织系统 · 物理学 2016-03-08 I. Sendiña-Nadal , I. Leyva , A. Navas , J. A. Villacorta-Atienza , J. A. Almendral , Z. Wang , S. Boccaletti

The scale-free (SF) networks that have been studied so far contained quenched disorder generated by random dilution which does not vary with the time. In practice, if a SF network is to represent, for example, the worldwide web, then the…

无序系统与神经网络 · 物理学 2015-06-25 Dietrich Stauffer , Muhammad Sahimi

We study numerically a model of nonequilibrium networks where nodes and links are added at each time step with aging of nodes and connectivity- and age-dependent attachment of links. By varying the effects of age in the attachment…

统计力学 · 物理学 2015-05-13 Nuno Crokidakis , Marcio Argollo de Menezes

Our recent study on the Bethe lattice reported that a discontinuous percolation transition emerges as the number of occupied links increases and each node rewires its links to locally suppress the growth of neighboring clusters. However,…

无序系统与神经网络 · 物理学 2026-01-19 Young Sul Cho

We propose a general model of unweighted and undirected networks having the scale-free property and fractal nature. Unlike the existing models of fractal scale-free networks (FSFNs), the present model can systematically and widely change…

物理与社会 · 物理学 2022-05-04 Kousuke Yakubo , Yuka Fujiki

This paper studies growth, percolation, and correlations in disordered fiber networks. We start by introducing a 2D continuum deposition model with effective fiber-fiber interactions represented by a parameter $p$ which controls the degree…

统计力学 · 物理学 2009-10-28 N. Provatas , M. Haataja , E. Seppälä , S. Majaniemi , J. Åström , M. Alava , T. Ala-Nissila

A approach of finite size scaling theory for discontinous percolation with multiple giant clusters is developed in this paper. The percolation in generalized Bohman-Frieze-Wormald (BFW) model has already been proved to be discontinuous…

统计力学 · 物理学 2017-10-10 Yong Zhu , Xiaosong Chen

We describe the anomalous phase transition of the emergence of the giant connected component in scale-free networks growing under mechanism of preferential linking. We obtain exact results for the size of the giant connected component and…

统计力学 · 物理学 2009-11-07 S. N. Dorogovtsev , J. F. F. Mendes , A. N. Samukhin

Transient dynamics leading to the synchrony of pulse-coupled oscillators has previously been studied as an aggregation process of synchronous clusters, and a rate equation for the cluster size distribution has been proposed. However, the…

统计力学 · 物理学 2023-03-06 Gangyong Gwon , Young Sul Cho

Pattern formation and evolution in unsynchronizable complex networks are investigated. Due to the asymmetric topology, the synchronous patterns formed in complex networks are irregular and nonstationary. For coupling strength immediately…

混沌动力学 · 物理学 2007-05-23 Xingang Wang , Meng Zhan , Ghuguang Guan , Choy Heng Lai

We consider robustness and percolation properties of the networks of networks, in which random nodes in different individual networks (layers) can be interdependent. We explore the emergence of the giant mutually connected component,…

无序系统与神经网络 · 物理学 2014-11-18 Ginestra Bianconi , Sergey N. Dorogovtsev

We study the percolation properties of the growing clusters model. In this model, a number of seeds placed on random locations on a lattice are allowed to grow with a constant velocity to form clusters. When two or more clusters eventually…

统计力学 · 物理学 2015-05-18 Nikolaos Tsakiris , Michail Maragakis , Kosmas Kosmidis , Panos Argyrakis

We introduce an exponential random graph model for networks with a fixed degree distribution and with a tunable degree-degree correlation. We then investigate the nature of a percolation transition in the correlated network with the Poisson…

统计力学 · 物理学 2007-08-30 Jae Dong Noh

We study an explosive percolation model in which a link is randomly added and neighboring nodes sequentially rewire their links to suppress the growth of large clusters. In this manner, the rewiring nodes spread outward starting from the…

统计力学 · 物理学 2026-03-17 Young Sul Cho

We provide arguments for the property of the degree-degree correlations of giant components formed by the percolation process on uncorrelated random networks. Using the generating functions, we derive a general expression for the…

物理与社会 · 物理学 2018-12-26 Shogo Mizutaka , Takehisa Hasegawa
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