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• W2144258275 abstract "In this paper, we provide a new approach to create weighted scale-free networks by the method of weight redistribution. In our model, from an Erdös and Rényi random graph, with every edge having the same weight one, along with the total number of vertices and the total weight of all edges constant, we redistribute the weight based on our rules. When the network is dynamically stabilized, we find that both the degree and the strength distributions of our model satisfy the power-law form respectively, with the exponents approximating one. To have the power-law exponents tunable, we give each vertex an intrinsic strength initially. When the improved model is dynamically stabilized, we find the power-law exponents become tunable. Numerical results verify our theoretical analysis." @default.
• W2144258275 created "2016-06-24" @default.
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• W2144258275 date "2011-04-10" @default.
• W2144258275 modified "2023-09-23" @default.
• W2144258275 title "APPROACH TO CREATE WEIGHTED SCALE-FREE NETWORKS: THE WEIGHT REDISTRIBUTION" @default.
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• W2144258275 doi "https://doi.org/10.1142/s0217979211058833" @default.
• W2144258275 hasPublicationYear "2011" @default.
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