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Self-Organization of Topology and Weight Dynamics on Networks from Merging and Regeneration 被引量:1

Self-Organization of Topology and Weight Dynamics on Networks from Merging and Regeneration
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摘要 We propose a model of weighted networks in which the structural evolution is coupled with weight dynamics. Based on a simple merging and regeneration process, the model gives powel-law distributions of degree, strength and weight, as observed in many real networks. It should be emphasized that, in our model, the nontrivial degree-strength correlation can be reproduced and in agreement with empirical data. Moreover, the size-growing evolution model is also presented to meet the properties of real-world systems. We propose a model of weighted networks in which the structural evolution is coupled with weight dynamics. Based on a simple merging and regeneration process, the model gives powel-law distributions of degree, strength and weight, as observed in many real networks. It should be emphasized that, in our model, the nontrivial degree-strength correlation can be reproduced and in agreement with empirical data. Moreover, the size-growing evolution model is also presented to meet the properties of real-world systems.
出处 《Chinese Physics Letters》 SCIE CAS CSCD 2006年第2期275-278,共4页 中国物理快报(英文版)
基金 Supported by the National 0utstanding Young Investigator Foundation of China under Grant No 70225005, the National Natural Science Foundation of China under Grant No 70471088.
关键词 SCALE-FREE NETWORKS SIZE DISTRIBUTION COMPLEX NETWORKS SIMPLE-MODEL AGGREGATION CRITICALITY INJECTION EVOLUTION SCALE-FREE NETWORKS SIZE DISTRIBUTION COMPLEX NETWORKS SIMPLE-MODEL AGGREGATION CRITICALITY INJECTION EVOLUTION
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