Methods And Problems Attempt in Scale-Free Models From Complex Networks

被引：0

作者：

Yao, Bing ^{[1
]}

Wang, Xiaomin ^{[1
]}

Su, Jing ^{[1
]}

Ma, Fei ^{[1
]}

Zhao, Xiyang ^{[1
]}

Yao, Ming ^{[2
]}

Zhang, Mingjun ^{[3
]}

Wang, Guoxing ^{[3
]}

机构：

[1] Northwest Normal Univ, Coll Math & Stat, Lanzhou 730070, Peoples R China

[2] Lanzhou Petrochem Coll Vocat Technol, Dept Informat Proc & Control Engn, Lanzhou 730060, Peoples R China

[3] Lanzhou Univ Finance & Econ, Sch Informat Engn, Lanzhou 730030, Peoples R China

来源：

PROCEEDINGS OF THE 2016 JOINT INTERNATIONAL INFORMATION TECHNOLOGY, MECHANICAL AND ELECTRONIC ENGINEERING | 2016年 / 59卷

关键词：

power law; scale-free; model; cumulative distribution; algorithm;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The dynamical phenomena of complex networks are not easy to model and to characterize by current methods of mathematics. Newman, Barabasi and Watts pointed out the direction of researching complex networks by graph theory, which was successfully applied in current investigation of complex networks, and Newman's network-based methods have been applied to a variety of fields. Some well-known and new methods of mathematics are provided in this article, associated with construction and problems on scale-free models from real networks.

引用

页码：57 / 61

页数：5

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