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• W2009481832 abstract "In this paper, we propose a generalized deactivation model to characterize weighted networks. By introducing the special aging mechanism, the model can produce power-law distributions of degree, strength, and weight, as confirmed in many real networks. We also characterize the clustering and correlation properties of this class of networks. A scaling behavior of clustering coefficient C∼1/M is observed, where M refers to the number of active nodes. The generated network simultaneously exhibits hierarchical organization and disassortative degree correlation. All of these structural properties are confirmed by present empirical evidence." @default.
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• W2009481832 date "2007-07-01" @default.
• W2009481832 modified "2023-09-27" @default.
• W2009481832 title "The effect of generalized deactivation mechanism in weighted networks" @default.
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• W2009481832 doi "https://doi.org/10.1016/j.physa.2007.02.104" @default.
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