Self-organization of topology and weight dynamics on networks from merging and regeneration

被引:0
|
作者
Zhao, H [1 ]
Gao, ZY
Yan, G
Wang, WX
机构
[1] Beijing Jiaotong Univ, Sch Traff & Transportat, Beijing 100044, Peoples R China
[2] Univ Sci & Technol, Dept Elect Sci & Technol, Hefei 230026, Peoples R China
[3] Univ Sci & Technol, Nonlinear Sci Ctr, Hefei 230026, Peoples R China
[4] Univ Sci & Technol, Dept Modern Phys, Hefei 230026, Peoples R China
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中图分类号
O4 [物理学];
学科分类号
0702 ;
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 power-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.
引用
收藏
页码:275 / 278
页数:4
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