Richard Pymar studied the noisy voter model with Nicolás Rivera. They analyzed the stationary-mass-weighted density of vertices holding one opinion, rather than only individual vertex states. By varying graph size and the noise parameter, their work describes transitions between different limiting probability distributions for this collective observable.[ref]
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