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相关论文: Is small-world network disordered?

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We propose a simple model that aims at describing, in a stylized manner, how local breakdowns due unbalances or congestion propagate in real dynamical networks. The model converges to a self-organized critical stationary state in which the…

统计力学 · 物理学 2007-05-23 Ginestra Bianconi , Matteo Marsili

A minimal model for self-organized critical percolation on directed graphs with activating and de-activating links is studied. Unlike classical self-organized criticality, the variables that determine criticality are separated from the…

统计力学 · 物理学 2007-05-23 Christel Kamp , Stefan Bornholdt

We study two models having an infinite-disorder critical point --- the zero temperature random transverse-field Ising model and the random contact process --- on a star-like network composed of $M$ semi-infinite chains connected to a common…

无序系统与神经网络 · 物理学 2015-06-19 Róbert Juhász

Randomly coupled Ising spins constitute the classical model of collective phenomena in disordered systems, with applications covering ferromagnetism, combinatorial optimization, protein folding, stock market dynamics, and social dynamics.…

无序系统与神经网络 · 物理学 2016-08-24 David Dahmen , Hannah Bos , Moritz Helias

We study the dynamics of excitable integrate-and-fire neurons in a small-world network. At low densities $p$ of directed random connections, a localized transient stimulus results in either self-sustained persistent activity or in a brief…

斑图形成与孤子 · 物理学 2009-11-10 Alex Roxin , Hermann Riecke , Sara A. Solla

Most real-world networks are endowed with the small-world property, by means of which the maximal distance between any two of their nodes scales logarithmically rather than linearly with their size. The evidence sparkled a wealth of studies…

物理与社会 · 物理学 2023-04-21 Tanu Raghav , Stefano Boccaletti , Sarika Jalan

We show by numerical simulations that the correlation function of the random field Ising model (RFIM) in the critical region in three dimensions has very strong fluctuations and that in a finite volume the correlation length is not…

凝聚态物理 · 物理学 2009-11-07 Giorgio Parisi , Nicolas Sourlas

Recently the renormalization group predictions on the effect of disorder on pinning models have been put on mathematical grounds. The picture is particularly complete if the disorder is 'relevant' or 'irrelevant' in the Harris criterion…

数学物理 · 物理学 2009-06-11 Giambattista Giacomin , Hubert Lacoin , Fabio Lucio Toninelli

We analyze critical phenomena on networks generated as the union of hidden variables models (networks with any desired degree sequence) with arbitrary graphs. The resulting networks are general small-worlds similar to those a` la Watts and…

无序系统与神经网络 · 物理学 2011-06-29 M. Ostilli , A. L. Ferreira , J. F. F. Mendes

We study the small-world network model, which mimics the transition between regular-lattice and random-lattice behavior in social networks of increasing size. We contend that the model displays a normal continuous phase transition with a…

统计力学 · 物理学 2009-10-31 M. E. J. Newman , D. J. Watts

We investigate the effects of quenched bond randomness on the critical properties of the two-dimensional ferromagnetic Ising model embedded in a triangular lattice. The system is studied in both the pure and disordered versions by the same…

统计力学 · 物理学 2010-04-16 Nikolaos G. Fytas , Anastasios Malakis

Recently, it has been claimed that some complex networks are self-similar under a convenient renormalization procedure. We present a general method to study renormalization flows in graphs. We find that the behavior of some variables under…

物理与社会 · 物理学 2009-11-13 Filippo Radicchi , José Javier Ramasco , Alain Barrat , Santo Fortunato

In a recent work, mean-field analysis and computer simulations were employed to analyze critical self-organization in networks of excitable cellular automata where randomly chosen synapses in the network were depressed after each spike (the…

适应与自组织系统 · 物理学 2017-04-19 João Guilherme Ferreira Campos , Ariadne de Andrade Costa , Mauro Copelli , Osame Kinouchi

In this paper we study the small-world network model of Watts and Strogatz, which mimics some aspects of the structure of networks of social interactions. We argue that there is one non-trivial length-scale in the model, analogous to the…

统计力学 · 物理学 2009-10-31 M. E. J. Newman , D. J. Watts

Qualitatively, some real networks in the brain could be characterized as 'small worlds', in the sense that the structure of their connections is intermediate between the extremes of an orderly geometric arrangement and of a…

神经元与认知 · 定量生物学 2007-05-23 A. Anishchenko , E. Bienenstock , A. Treves

Watts and Strogatz [Nature 393, 440 (1998)] have recently introduced a model for disordered networks and reported that, even for very small values of the disorder $p$ in the links, the network behaves as a small-world. Here, we test the…

统计力学 · 物理学 2009-10-31 Marc Barthelemy , Luis A. N. Amaral

Small-world networks are the focus of recent interest because they appear to circumvent many of the limitations of either random networks or regular lattices as frameworks for the study of interaction networks of complex systems. Here, we…

统计力学 · 物理学 2012-03-08 Luis A. Nunes Amaral , Antonio Scala , Marc Barthelemy , H. Eugene Stanley

We study a modified model of the Kardar-Parisi-Zhang equation with quenched disorder, in which the driving force decreases as the interface rises up. A critical state is self-organized, and the anomalous scaling law with roughness exponent…

统计力学 · 物理学 2015-05-19 Hidetsugu Sakaguchi

We have investigated the anomalous scaling behaviour of the Ising model on small-world networks based on 2- and 3-dimensional lattices using Monte Carlo simulations. Our main result is that even at low $p$, the shift in the critical…

无序系统与神经网络 · 物理学 2007-05-23 K. A. Hawick , H. A. James

Many real life networks, such as the World Wide Web, transportation systems, biological or social networks, achieve both a strong local clustering (nodes have many mutual neighbors) and a small diameter (maximum distance between any two…

凝聚态物理 · 物理学 2009-11-07 Francesc Comellas , Michael Sampels