SCALING PROPERTIES OF AN EVOLVING NETWORK MODEL WITH AGING MECHANISM

被引：6

作者：

Yang, Renhuan ^{[1
]}

Song, Aiguo ^{[1
]}

机构：

[1] Southeast Univ, Dept Instrument Sci & Engn, Nanjing 210096, Peoples R China

来源：

INTERNATIONAL JOURNAL OF MODERN PHYSICS C | 2009年 / 20卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Scaling behaviors; aging network; distribution; complex network; CITATION NETWORKS; COMPLEX NETWORKS; EVOLUTION;

D O I：

10.1142/S012918310901400X

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper, a growing network model with aging mechanism is investigated. Each new node of the network gets attached to the ith existing node with the probability similar to k(i)(beta()t)e(-alpha tau i), where k(i) is the degree of the ith node and tau(i) is its age at time t. beta denotes attraction factor and alpha represents aging intensity. It is found that the network shows scaling behaviors such as scale-free and exponential distribution of degree. Moreover, the phase diagram in the beta - alpha plane is observed, in which there are three regions plotted by two boundaries.

引用

页码：781 / 787

页数：7

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