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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 我们建议结构的进化是的加权的在网络的一个模型结合了重量动力学。把进程,度的模型 givespower 法律分布,力量和重量基于简单合并和新生,在许多真实网络观察了。在我们的模型,重要度力量关联能被复制,这应该被强调并且与实验数据一致。而且,成长尺寸的进化模型也被介绍遇见真实世界的系统的性质。 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 拓扑学 重力动力学 结构演化 归并 SCALE-FREE NETWORKS SIZE DISTRIBUTION COMPLEX NETWORKS SIMPLE-MODEL AGGREGATION CRITICALITY INJECTION EVOLUTION
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