Evolution model for scientific collaboration network with local-world information

doi:10.1016/S1005-8885(14)60281-8

中国邮电高校学报(英文) ›› 2014, Vol. 21 ›› Issue (2): 15-20.doi: 10.1016/S1005-8885(14)60281-8

Evolution model for scientific collaboration network with local-world information

田生文¹,Jianxin LiaoJingyu Wang¹,Qi Qi¹

1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China 2. School of Information and Electrical Engineering, Ludong University, Yantai 264025, China

收稿日期:2013-09-26 修回日期:2013-12-31 出版日期:2014-04-30 发布日期:2014-04-30
通讯作者: 田生文 E-mail:gltsw@163.com
基金资助:
国家基础研究项目

Evolution model for scientific collaboration network with local-world information

1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China 2. School of Information and Electrical Engineering, Ludong University, Yantai 264025, China

Received:2013-09-26 Revised:2013-12-31 Online:2014-04-30 Published:2014-04-30
Contact: Sheng-wen TIAN E-mail:gltsw@163.com
Supported by:
the National Basic Research Program of China (2013CB329102), the National Natural Science Foundation of China (61372120，61271019, 61101119, 61121001, 61072057, 60902051), the PCSIRT (IRT1049), the Beijing Higher Education Young Elite Teacher Project (YETP0473).

摘要/Abstract

摘要：

In order to reveal the intrinsic properties of scientific collaboration networks, a new local-world evolution model on a scientific collaboration network is proposed by analysing the network growth mechanism. The act degree as the measurement of preferential attachment is taken, and the local-world information of nodes is taken into account. Analysis and simulation show that the node degree and the node strength obey the power-law distribution. Low average path length and high clustering coefficient are approved. Experiment indicates that the model can depict efficiently the topological structure and statistical characteristics of real-life scientific collaboration networks.

关键词:

scientific collaboration network, evolution model, local-world information, scale-free, act degree

Abstract:

Key words:

scientific collaboration network, evolution model, local-world information, scale-free, act degree

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Evolution model for scientific collaboration network with local-world information

Evolution model for scientific collaboration network with local-world information

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