Coherent noise, scale invariance and intermittency in large systems
Kim Sneppen (Nordita), M. E. J. Newman (Santa Fe Institute)

TL;DR
This paper presents a new class of models where agents under coherent noise exhibit scale-invariant reorganization events, power-law distributions, and aftershock phenomena, providing insights into large system dynamics without agent interactions.
Contribution
Introduces a novel model demonstrating scale invariance and intermittency driven by coherent noise, applicable to various physical systems.
Findings
Reorganization event sizes follow a power-law distribution.
Large disturbances are followed by aftershocks with 1/t timing.
Agents' lifetimes also follow a power-law distribution.
Abstract
We introduce a new class of models in which a large number of "agents" organize under the influence of an externally imposed coherent noise. The model shows reorganization events whose size distribution closely follows a power law over many decades, even in the case where the agents do not interact with each other. In addition the system displays "aftershock" events in which large disturbances are followed by a string of others at times which are distributed according to a 1/t law. We also find that the lifetimes of the agents in the system possess a power-law distribution. We explain all of these results using an approximate analytic treatment of the dynamics and discuss a number of variations on the basic model relevant to the study of particular physical systems.
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Statistical Mechanics and Entropy · Advanced Thermodynamics and Statistical Mechanics
