Abstract
In this paper, we introduce a reshuffling approach to analyze how signs’ configuration affects the SIR disease-spreading process on the voting network of Wikipeida (VNW) including both positive and negative edges. Inspired by the ensemble theory in statistical mechanics, many reshuffled VNWs with different signs’ configuration are built through applying our reshuffling approach with a pair of parameters (rs, r+) on the real VNW. Through comparing SIR simulations on those reshuffled VNWs, we find that the real signs’ configuration slows down disease spreading. Interestingly, there exists the suppressed effect of the fraction of recovered nodes ρR in the real VNW, which is a clear fingerprint of non-random factor that prevents the spreading of disease from infectious individuals to susceptible ones in human behaviors. Our present work provides a valuable perspective and tool to understand the tightly coupling of dynamical process and topology in complex system.
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