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This brief proposes a novel approach to exploring random drift processes on complex dynamical networks. This approach uses characteristics of the influence model in order to provide a unified analytically tractable framework for analysis of random drift on networks. Based on this approach, the fixation probability, which is a key quantity characterizing random drift, is obtained for three kinds of...
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