Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2002-10-16
Physics
Condensed Matter
Disordered Systems and Neural Networks
4 pages, 5 figures with minor corrections. To appear in Phys. Rev. E
Scientific paper
10.1103/PhysRevE.67.035102
We show that the nonequilibrium dynamics of systems with many interacting elements located on a small-world network can be much slower than on regular networks. As an example, we study the phase ordering dynamics of the Ising model on a Watts-Strogatz network, after a quench in the ferromagnetic phase at zero temperature. In one and two dimensions, small-world features produce dynamically frozen configurations, disordered at large length scales, analogous of random field models. This picture differs from the common knowledge (supported by equilibrium results) that ferromagnetic short-cuts connections favor order and uniformity. We briefly discuss some implications of these results regarding the dynamics of social changes.
Boyer Denis
Miramontes Octavio
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