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- W2087885763 abstract "Since some realistic networks are influenced not only by increment behavior but also by the tunable clustering mechanism with new nodes to be added to networks, it is interesting to characterize the model for those actual networks. In this paper, a weighted local-world model, which incorporates increment behavior and the tunable clustering mechanism, is proposed and its properties are investigated, such as degree distribution and clustering coefficient. Numerical simulations are fitted to the model and also display good right-skewed scale-free properties. Furthermore, the correlation of vertices in our model is studied which shows the assortative property. The epidemic spreading process by weighted transmission rate on the model shows that the tunable clustering behavior has a great impact on the epidemic dynamic." @default.
- W2087885763 created "2016-06-24" @default.
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- W2087885763 date "2010-11-02" @default.
- W2087885763 modified "2023-10-18" @default.
- W2087885763 title "Weighted tunable clustering in local-world networks with increment behavior" @default.
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- W2087885763 doi "https://doi.org/10.1088/1742-5468/2010/11/p11009" @default.
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