Epidemic Spread in Weighted Scale-Free Networks

Epidemic Spread in Weighted Scale-Free Networks
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DOI:
10.1088/0256-307x/22/2/068
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发表时间:
2004-08
影响因子:
3.5
通讯作者:
G. Yan;Tao Zhou;Jie Wang;Zhongqian Fu;Bing-hong Wang
G. Yan;Tao Zhou;Jie Wang;Zhongqian Fu;Bing-hong Wang
中科院分区:
物理与天体物理3区
文献类型:
--
作者:
G. Yan;Tao Zhou;Jie Wang;Zhongqian Fu;Bing-hong Wang

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我们研究了无标度网络中传染病传播的详细过程,其中链接权重表示两个个体之间的熟悉度。结果表明,扩散速度很快达到一个峰值,然后以幂律形式衰减。数值研究表明,强度较大的节点更容易被感染,但没有发现明显的层次动力学,这与未加权网络情况下的著名结果不同。此外,通过数值研究,我们还发现网络权值的离散度越大,传播速度越慢,这表明在相同条件下,传染病在无标度网络上的传播速度要比在加权无标度网络上的传播速度快.
We investigate the detailed epidemic spreading process in scale-free networks with link weights that denote familiarity between two individuals. It is found that the spreading velocity reaches a peak quickly then decays in a power-law form. Numerical study exhibits that the nodes with larger strength is preferential to be infected, but the hierarchical dynamics are not clearly found, which is different from the well-known result in the unweighed network case. In addition, also by numerical study, we demonstrate that larger dispersion of weight of networks results in slower spreading, which indicates that epidemic spreads more quickly on unweighted scale-free networks than on weighted scale-free networks with the same condition.