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Related papers: A perturbative approach to the Bak-Sneppen Model

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We study a class of Markovian systems of $N$ elements taking values in $[0,1]$ that evolve in discrete time $t$ via randomized replacement rules based on the ranks of the elements. These rank-driven processes are inspired by variants of the…

Probability · Mathematics 2012-01-06 Michael Grinfeld , Philip A. Knight , Andrew R. Wade

Consider the following evolution model, proposed in \cite{BS} by Bak and Sneppen. Put $N$ vertices on a circle, spaced evenly. Each vertex represents a certain species. We associate with each vertex a random variable, representing the…

Disordered Systems and Neural Networks · Physics 2007-05-23 R. Meester , D. Znamenski

In the present work we extend the Bak-Sneppen model for biological evolution by introducing local interactions between species. This ``environmental'' perturbation can modify the intrinsic fitness of each element of the ecology, leading to…

Other Condensed Matter · Physics 2010-10-14 M. Bartolozzi , D. B. Leinweber , A. W. Thomas

We study the one-dimensional Bak-Sneppen model for the evolution of species in an ecosystem. Of particular interest are the temporal fluctuations in the fitness variables. We numerically compute the power spectral density and apply the…

Statistical Mechanics · Physics 2023-06-16 Abha Singh , Rahul Chhimpa , Avinash Chand Yadav

We study the dynamics of the Bak-Sneppen model on small-world networks. For each site in the network, we define a ``connectance,'' which measures the distance to all other sites. We find radically different patterns of activity for…

Condensed Matter · Physics 2009-09-25 R. V. Kulkarni , E. Almaas , D. Stroud

A dynamic scaling Ansatz for the approach to the Self-Organized Critical (SOC) regime is proposed and tested by means of extensive simulations applied to the Bak-Sneppen model (BS), which exhibits robust SOC behavior. Considering the…

Adaptation and Self-Organizing Systems · Physics 2009-11-11 Karina Laneri , Alejandro F. Rozenfeld , Ezequiel V. Albano

We study a random neighbor version of the Bak-Sneppen model, where "nearest neighbors" are chosen according to a probability distribution decaying as a power-law of the distance from the active site, P(x) \sim |x-x_{ac }|^{-\omega}. All the…

Statistical Mechanics · Physics 2009-10-31 R. Cafiero , P. De Los Rios , A. Valleriani , J. L. Vega

A control scheme to reduce the size of avalanches of the Bak-Tang-Wiesenfeld model on complex networks is proposed. Three network types are considered: those proposed by Erd\H{o}s-Renyi, Goh-Kahng-Kim, and a real network representing the…

Physics and Society · Physics 2015-06-16 Daniel O. Cajueiro , Roberto F. S. Andrade

Avalanche dynamics is an indispensable feature of complex systems. Here we study the self-organized critical dynamics of avalanches on scale-free networks with degree exponent $\gamma$ through the Bak-Tang-Wiesenfeld (BTW) sandpile model.…

Statistical Mechanics · Physics 2007-05-23 D. -S. Lee , K. -I. Goh , B. Kahng , D. Kim

The dynamics of complex systems in nature often occurs in terms of punctuations, or avalanches, rather than following a smooth, gradual path. A comprehensive theory of avalanche dynamics in models of growth, interface depinning, and…

adap-org · Physics 2009-10-28 M. Paczuski , S. Maslov , P. Bak

A damped chain of particles with harmonic nearest-neighbor interactions in a spatially periodic, piecewise harmonic potential (Frenkel-Kontorova model) is studied numerically. One end of the chain is pulled slowly which acts as a weak…

chao-dyn · Physics 2009-10-22 Franz-Josef Elmer

Extremal dynamics is the mechanism that drives the Bak-Sneppen model into a (self-organized) critical state, marked by a singular stationary probability density $p(x)$. With the aim of understanding this phenomenon, we study the BS model…

Statistical Mechanics · Physics 2015-06-24 Guilherme J. M. Garcia , Ronald Dickman

We analyze the behavior of spatially anisotropic Bak-Sneppen model. We demonstrate that a nontrivial relation between critical exponents tau and mu=d/D, recently derived for the isotropic Bak-Sneppen model, holds for its anisotropic version…

Statistical Mechanics · Physics 2009-10-31 Sergei Maslov , Paolo De Los Rios , Matteo Marsili , Yi-Cheng Zhang

We study the simple evolutionary process in which we repeatedly find the least fit agent in a population of agents and give it a new fitness which is chosen independently at random from a specified distribution. We show that many of the…

Adaptation and Self-Organizing Systems · Physics 2009-11-07 Dietrich Stauffer , M. E. J. Newman

We introduce a simple model for the size distribution of avalanches based on the idea that the front of an avalanche can be described by a directed random walk. The model captures some of the qualitative features of earthquakes, avalanches…

Condensed Matter · Physics 2007-05-23 T. Jonsson , J. F. Wheater

We consider the BTW model in random link lattices with finite range interaction (RLFRI). The degree distribution for nodes is considered to be uniform in the interval $(0,n_0)$. We numerically calculate the exponents of the distribution…

Statistical Mechanics · Physics 2015-06-16 M. N. Najafi

We study extreme events of avalanche activities in finite-size two-dimensional self-organized critical (SOC) models, specifically the stochastic Manna model (SMM) and the Bak-Tang-Weisenfeld (BTW) sandpile model. Employing the approach of…

Statistical Mechanics · Physics 2026-05-18 Abdul Quadir , Haider Hasan Jafri

One of the primitive aims of the two-dimensional BTW model had been to explain the $1/f^{\alpha}$ noise which is widely seen in the natural systems. In this paper we study some time signals, namely the activity inside an avalanche ($x(t)$),…

Statistical Mechanics · Physics 2018-01-29 Z. Moghadam , M. N. Najafi , A. Saber , Z. Ebadi

We introduce two sandpile models which show the same behavior of real sandpiles, that is, an almost self-organized critical behavior for small systems and the dominance of large avalanches as the system size increases. The systems become…

Statistical Mechanics · Physics 2009-11-07 Maria de Sousa Vieira

A Bayesian non-parametric framework for studying time-to-event data is proposed, where the prior distribution is allowed to depend on an additional random source, and may update with the sample size. Such scenarios are natural, for…

Methodology · Statistics 2025-05-06 Martin Bladt , Jorge González Cázares