Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2008-09-12
Nonlinear Sciences
Adaptation and Self-Organizing Systems
4 pages, 3 figures. Physical Review Letters, in press
Scientific paper
10.1103/PhysRevLett.101.158702
In this work we present a general mechanism by which simple dynamics running on networks become self-organized critical for scale free topologies. We illustrate this mechanism with a simple arithmetic model of division between integers, the division model. This is the simplest self-organized critical model advanced so far, and in this sense it may help to elucidate the mechanism of self-organization to criticality. Its simplicity allows analytical tractability, characterizing several scaling relations. Furthermore, its mathematical nature brings about interesting connections between statistical physics and number theoretical concepts. We show how this model can be understood as a self-organized stochastic process embedded on a network, where the onset of criticality is induced by the topology.
Lacasa Lucas
Luque Bartolo
Miramontes Octavio
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