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Epidemic spread in weighted networks

G. Yan·Tao Zhou·Jie Wang·Zhongqian Fu·Binghong Wang
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Abstract

We study the detailed epidemic spreading process in scale-free networks with weight that denote familiarity between two people or computers. The result shows that spreading velocity reaches a peak quickly then decays representing power-law time behavior, and comparing to non-weighted networks, precise hierarchical dynamics is not found although the nodes with larger strength is preferential to be infected.

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G. Yan, Tao Zhou, Jie Wang, Zhongqian Fu, Binghong Wang. 2004-07-22. Epidemic spread in weighted networks. https://arxiv.org/abs/cond-mat/0407598

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