arXiv · cond-mat/0507285
Path-integral approach to the dynamics in sparse random network
Abstract
We study the dynamics involved in a sparse random network model. We extend the standard mean-field approximation for the dynamics of a random network by employing the path-integral approach. The result indicates that the distribution of the variable is essentially identical to that obtained from globally coupled oscillators with random Gaussian interaction. We present the results of a numerical simulation of the Kuramoto transition in a random network, which is found to be consistent with this analysis.
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Takashi Ichinomiya. 2005-07-13. Path-integral approach to the dynamics in sparse random network. https://doi.org/10.1103/physreve.72.016109
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