Generation models for scale-free networks

被引：49

作者：

Dangalchev, C ^{[1
]}

机构：

[1] Pacific NW Natl Lab, Richland, WA 99352 USA

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2004年 / 338卷 / 3-4期

关键词：

random networks; scale-free networks; collaboration graph; deterministic static model;

D O I：

10.1016/j.physa.2004.01.056

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

In the last few years it has been established that the connectivity distribution of the large real-world networks often follows the power-law, i.e., they are scale-free networks. In this article stochastic models leading to scale-free network are considered and a model close to them is proposed. Deterministic models for creating scale-free networks with given nodes (static model) are demonstrated. A characteristic of graphs, which could be used for determining the scale-free topology of networks, is suggested. (C) 2004 Elsevier B.V. All rights reserved.

引用

页码：659 / 671

页数：13

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