scispace - formally typeset
Open AccessBook

Self-Organized Criticality

Reads0
Chats0
About
The article was published on 1998-01-01 and is currently open access. It has received 610 citations till now.

read more

Citations
More filters
Journal ArticleDOI

A power-law distribution for tenure lengths of sports managers

TL;DR: The authors showed that the tenure lengths for managers of sport teams follow a power law distribution with an exponent between 2 and 3, and developed a simple theoretical model which replicates this result, showing that the empirical phenomenon can be understood as the macroscopic outcome of pairwise interactions among managers in a league, threshold effects in managerial performance evaluation, competitive market forces, and luck at the microscopic level.
Journal ArticleDOI

Scaling properties of the runoff variations in the arid and semi-arid regions of China: a case study of the Yellow River basin

TL;DR: Wang et al. as discussed by the authors analyzed long daily runoff series at six hydrological stations located along the mainstem Yellow River basin by using power spectra analysis and multifractal detrended fluctuation analysis (MF-DFA) technique with aim to deeply understand the scaling properties of the hydrologogical series.
Journal ArticleDOI

On a species survival model

TL;DR: In this paper, the authors provided some sharp asymptotic results for a stochastic model of species survival proposed by Guiol, Machado, and Schinazi.
Journal ArticleDOI

Self-organized random walks and stochastic sandpile: from linear to branched avalanches

TL;DR: In this paper, a branchless Polya random walk is used to model self-organized criticality unstable sites discharge to just one of their neighbours, and the scaling properties of these random walks can be derived exactly.
Journal ArticleDOI

Time-energy correlations in solar flare occurrence

TL;DR: The existence of time-energy correlations in flare occurrence is still an open and much debated problem as discussed by the authors, and the question whether statistically significant correlations are present between energies of successive flares as well as energies and waiting times.