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arXiv · 1702.06822

Variational approximations for stochastic dynamics on graphs

Alessandro Pelizzola·Marco Pretti
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Abstract

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.

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BibTeXRIS

Alessandro Pelizzola, Marco Pretti. 2017-02-22. Variational approximations for stochastic dynamics on graphs. https://doi.org/10.1088/1742-5468%2Faa7a40

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