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• W2137109654 abstract "We use the susceptible-infected-recovered (SIR) model for disease spread over a network, and empirically study how well various centrality measures perform at identifying which nodes in a network will be the best spreaders of disease on 10 real-world networks. We find that the relative performance of degree, shell number and other centrality measures can be sensitive to b , the probability that an infected node will transmit the disease to a susceptible node. We also find that eigenvector centrality performs very well in general for values of b above the epidemic threshold." @default.
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• W2137109654 date "2012-08-21" @default.
• W2137109654 modified "2023-09-27" @default.
• W2137109654 title "Spreaders in the Network SIR Model: An Empirical Study" @default.
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