Scale-Free Network Model with Evolving Local-World

被引：10

作者：

Sun Tie-li ^{[1
]}

Deng Jing-wei ^{[1
]}

Deng Kai-ying ^{[1
]}

机构：

[1] NE Normal Univ, Sch Comp Sci, Changchun 130117, Peoples R China

来源：

ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 1, PROCEEDINGS | 2008年

关键词：

D O I：

10.1109/ICNC.2008.309

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Most real-world networks are best described by evolved network model. regarding of some limitation of the Barabasi-Albert scale-free network model to model the realistic world. The model is the generalization of Barabasi-Albert scale-free network model. Numerical simulations and theoretical analysis indicate that this network model follows power-law distribution, while the Barabasi-Albert scale-free network model is one of its special cases. The analytical expression is in good agreement with numerical calculations. It has more broad practical backgrounds. And it can simulate and describe the evolutions and characters of the many real world networks more applicable and exactly.

引用

页码：237 / 240

页数：4

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