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Cited by 213

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Epidemic Spread in Weighted Scale-Free Networks

Open access
Gang, Yan, Tao, Zhou, Jie, Wang, Zhong-Qian, Fu, Bing-Hong, Wang·2005·Chinese Physics Letters

Abstract

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.

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Metadata

Authors
Gang, Y., Tao, Z., Jie, W., Zhong-Qian, F., & Bing-Hong, W.
Venue
Chinese Physics Letters
Published
2005-01-27
Volume
22
Issue
2
Pages
510-513
ISSN
  • 0256-307X (ISSN-L)
  • 1741-3540
OpenAlex
W1981123380
Cited by
213
References
1
FWCI
9.91
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Epidemic Spread in Weighted Scale-Free Networks. https://app.cochat.ai/papers/10.1088/0256-307x/22/2/068
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Gang, Y., Tao, Z., Jie, W., Zhong-Qian, F., & Bing-Hong, W. (2005). Epidemic Spread in Weighted Scale-Free Networks. Chinese Physics Letters. https://doi.org/10.1088/0256-307x/22/2/068

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