Quantitative description and modeling of real networks

被引：15

作者：

Capocci, A ^{[1
]}

Caldarelli, G

De Los Rios, P

机构：

[1] Univ Fribourg, Dept Phys, CH-1700 Fribourg, Switzerland

[2] Univ Roma La Sapienza, Dipartimento Fis, INFM UdR ROMA1, I-00185 Rome, Italy

[3] Univ Lausanne, Inst Phys Theor, CH-1015 Lausanne, Switzerland

来源：

PHYSICAL REVIEW E | 2003年 / 68卷 / 04期

关键词：

D O I：

10.1103/PhysRevE.68.047101

中图分类号：

O35 [流体力学]; O53 [等离子体物理学];

学科分类号：

070204 ; 080103 ; 080704 ;

摘要：

We present data analysis and modeling of two particular cases of study in the field of growing networks. We analyze World Wide Web data set and authorship collaboration networks in order to check the presence of correlation in the data. The results are reproduced with good agreement through a suitable modification of the standard Albert-Barabasi model of network growth. In particular, intrinsic relevance of sites plays a role in determining the future degree of the vertex.

引用

页数：4

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