The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Avalanche dynamics in evolution, growth, and depinning models
Open accessAbstract
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 evolution is presented. Specifically, we include the Bak-Sneppen evolution model, the Sneppen interface depinning model, the Zaitsev flux creep model, invasion percolation, and several other depinning models into a unified treatment encompassing a large class of far from equilibrium processes. The formation of fractal structures, the appearance of 1/f noise, diffusion with anomalous Hurst exponents, L\'evy flights, and punctuated equilibria can all be related to the same underlying avalanche dynamics. This dynamics can be represented as a fractal in d spatial plus one temporal dimension. The complex state can be reached either by tuning a parameter, or it can be self-organized. We present two exact equations for the avalanche behavior in the latter case. (1) The slow approach to the critical attractor, i.e., the process of self-organization, is governed by a ``gap'' equation for the divergence of avalanche sizes. (2) The hierarchical structure of avalanches is described by an equation for the average number of sites covered by an avalanche. The exponent \ensuremath{\gamma} governing the approach to the critical state appears as a constant rather than as a critical exponent. In addition, the conservation of activity in the stationary state manifests itself through the superuniversal result \ensuremath{\eta}=0. The exponent \ensuremath{\pi} for the L\'evy flight jumps between subsequent active sites can be related to other critical exponents through a study of ``backward avalanches.'' We develop a scaling theory that relates many of the critical exponents in this broad category of extremal models, representing different universality classes, to two basic exponents characterizing the fractal attractor. The exact equations and the derived set of scaling relations are consistent with numerical simulations of the above mentioned models. \textcopyright{} 1996 The American Physical Society.
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Citations
Cites
The Fractal Geometry of Nature
Mandelbrot, B. B., & Wheeler, J. A. (1983) · American Journal of Physics · doi:10.1119/1.13295 · Cited by 21,832
Self-organized criticality: An explanation of the 1/f noise
Bak, P., Tang, C., & Wiesenfeld, K. (1987) · Physical Review Letters · doi:10.1103/physrevlett.59.381 · Cited by 7,591
Self-citationIntroduction to Percolation Theory
Stauffer, D., Aharony, A., & Redner, S. (1993) · Physics Today · doi:10.1063/1.2808877 · Cited by 6,666
Diffusion-Limited Aggregation, a Kinetic Critical Phenomenon
Witten, T. A., & Sander, L. M. (1981) · Physical Review Letters · doi:10.1103/physrevlett.47.1400 · Cited by 5,381
Dynamic Scaling of Growing Interfaces
Kardar, M., Parisi, G., & Zhang, Y.-C. (1986) · Physical Review Letters · doi:10.1103/physrevlett.56.889 · Cited by 5,380
Bak, P., Tang, C., & Wiesenfeld, K. (1988) · Physical Review A · doi:10.1103/physreva.38.364 · Cited by 4,713
Self-citationPunctuated equilibria: the tempo and mode of evolution reconsidered
Gould, S. J., & Eldredge, N. (1977) · Paleobiology · doi:10.1017/s0094837300005224 · Cited by 2,659
The surface statistics of a granular aggregate
Edwards, S. F., & Wilkinson, D. R. (1982) · Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences · doi:10.1098/rspa.1982.0056 · Cited by 1,533
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Punctuated equilibrium and criticality in a simple model of evolution
Bak, P., & Sneppen, K. (1993) · Physical Review Letters · doi:10.1103/physrevlett.71.4083 · Cited by 1,497
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Cited by
Neuronal Avalanches in Neocortical Circuits
Beggs, J. M., & Plenz, D. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-35-11167.2003 · Cited by 2,325
Long-Range Temporal Correlations and Scaling Behavior in Human Brain Oscillations
Linkenkaer-Hansen, K., Nikouline, V. V., Palva, J. M., & Ilmoniemi, R. J. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-04-01370.2001 · Cited by 1,149
“…that several complex systems self-organize through local interactions to a critical state with long-range spatiotemporal correlations (Bak et al., 1989; Mantegna and Stanley, 1995; Boettcher and Paczuski, 1996; Paczuski et al., 1996; Bak, 1997; Malamud et al., 1998; Lux and Marchesi, 1999).”
BackgroundThe criticality hypothesis: how local cortical networks might optimize information processing
Beggs, J. M. (2008) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2007.2092 · Cited by 533
Highly optimized tolerance: A mechanism for power laws in designed systems
Carlson, J. M., & Doyle, J. (1999) · Physical Review E · doi:10.1103/physreve.60.1412 · Cited by 549
Haldeman, C., & Beggs, J. M. (2005) · Physical Review Letters · doi:10.1103/physrevlett.94.058101 · Cited by 469
Metadata
- Authors
- Paczuski, M., Maslov, S., & Bak, P.
- Venue
- Physical Review E
- Publisher
- American Physical Society (APS)
- Published
- 1996-01-01
- Volume
- 53
- Issue
- 1
- Pages
- 414-443
- ISSN
- 1063-651X (ISSN-L)
- 1095-3787
- OpenAlex
- W2070368466
- Cited by
- 577
- References
- 48
- FWCI
- 23.21
- Type
- journal article
- Language
- en
- Open access
- green
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