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- W1967652178 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." @default.
- W1967652178 created "2016-06-24" @default.
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- W1967652178 date "2005-07-12" @default.
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- W1967652178 title "Path-integral approach to dynamics in a sparse random network" @default.
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- W1967652178 doi "https://doi.org/10.1103/physreve.72.016109" @default.
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