arXiv:1702.06822 Abstract | arXiv Analytics

arXiv:1702.06822 [cond-mat.stat-mech]Abstract References Reviews Resources

Variational approximations for stochastic dynamics on graphs

Published 2017-02-22Version 1

We investigate different mean-field-like approximations for stochastic dynamics on graphs, within the framework of a cluster-variational approach. In analogy with its equilibrium counterpart, this approach allows one to give a unified view of various (previously known) approximation schemes, and suggests quite a systematic way to improve the level of accuracy. We compare the different approximations with Monte Carlo simulations on a reversible (susceptible-infected-susceptible) discrete-time epidemic-spreading model on random graphs.

Comments: 28 pages, 5 figures

Categories: cond-mat.stat-mech

Keywords: stochastic dynamics, variational approximations, monte carlo simulations, random graphs, cluster-variational approach

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