Dynamic state expansion with infection memory improves pair approximation accuracy for SIS epidemic threshold and quasi-stationary distribution on arbitrary networks.
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Threshold and quasi-stationary distribution for the SIS model on networks
Dynamic state expansion with infection memory improves pair approximation accuracy for SIS epidemic threshold and quasi-stationary distribution on arbitrary networks.