Measuring the preferential attachment mechanism in citation networks

被引：79

作者：

Wang, Mingyang ^{[1
,2
]}

Yu, Guang ^{[1
]}

Yu, Daren ^{[1
]}

机构：

[1] Harbin Inst Technol, Harbin 150001, Peoples R China

[2] NE Forestry Univ, Harbin 150040, Peoples R China

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2008年 / 387卷 / 18期

基金：

中国国家自然科学基金;

关键词：

citation network; preferential attachment mechanism; time window;

D O I：

10.1016/j.physa.2008.03.017

中图分类号：

O4 [物理学];

学科分类号：

0702 [物理学];

摘要：

in this paper, we investigated the preferential attachment mechanism (PAM) by considering the dynamic property in papers' in-degree k for three citation networks. We found that the past citations obtained in different years will have different influences on papers' attachment rate Pi(k, t). We proposed two methods to consider these different influences. One is the Gradually-vanishing Memory Preferential Attachment Mechanism (GMPAM) based on weighted past citations. The other is the Short-term Memory Preferential Attachment Mechanism (SMPAM) based on citations obtained in the recent one-year period. Experiments showed that SMPAM is simpler and more universal in practice. We can just calculate the citations to papers in the recent one-year period to study the papers' attachment property. (C) 2008 Elsevier B.V. All rights reserved.

引用

页码：4692 / 4698

页数：7

共 9 条

[1]

Emergence of scaling in random networks [J].