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Self-Organized Criticality

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The article was published on 1998-01-01 and is currently open access. It has received 610 citations till now.

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Quiet Sun coronal heating: Analyzing large scale magnetic structures driven by different small-scale uniform sources

TL;DR: In this article, Krasnoselskikh et al. studied the large-scale structure of the magnetic field by means of Singular Value Decomposition and derived entropy, techniques which are readily applicable to experimental data.
Book ChapterDOI

Chapter 73 Statistical and Dynamical Approaches to Collective Behavior of Dislocations

TL;DR: The authors reviewed the recent advances on both stochastic and nonlinear dynamical approaches, which have given a semblance of coherence in the description of collective effects of dislocations.
Journal ArticleDOI

Maximum entropy and stability of a random process with a 1/f power spectrum under deterministic action

TL;DR: The principle of maximum entropy has been used to analyze the stability of the resulting process observed during the interaction of a random process with a 1/f spectrum and a deterministic action in lumped and distributed systems of nonlinear stochastic differential equations describing the coupled nonequilibrium phase transitions as mentioned in this paper.
Posted Content

Scale Invariant Events and Dry Spells for Medium Resolution Local Rain Data

TL;DR: In this paper, the authors analyzed distributions of rain-event sizes, rain event durations, and dry-spell durations for data obtained from a network of 20 rain gauges scattered in a region of the NW Mediterranean coast, and demonstrated that scaling properties of rain events and dry spells can also be observed for medium resolution rain data.
Journal ArticleDOI

Self-organizing criticality and the method of automatic search of critical points

TL;DR: In this article, the authors apply the technique MASCP to the propagation of epidemy in an unidimensional lattice at the criticality (space-domain), and analyze the time-series of density of infected individuals using two complementary tools: Fourier analysis and detrended fluctuation analysis.