情报研究

科研合作网络弹性研究与实证

  • 岳增慧 ,
  • 方曙
展开
  • 1. 中国科学院国家科学图书馆成都分馆;
    2. 中国科学院
岳增慧,中国科学院国家科学图书馆成都分馆博士研究生,E-mail:yzh66123@126.com;方曙,中国科学院国家科学图书馆成都分馆研究员,博士生导师。

收稿日期: 2013-04-15

  修回日期: 2013-05-20

  网络出版日期: 2013-06-05

Resilience of Scientific Collaboration Network: An Empirical Research

  • Yue Zenghui ,
  • Fang Shu
Expand
  • 1. Chengdu Branch of the National Science Library of Chinese Academy of Sciences, Chengdu 610041;
    2. University of Chinese Academy of Sciences, Beijing 100190

Received date: 2013-04-15

  Revised date: 2013-05-20

  Online published: 2013-06-05

摘要

阐述科研合作网络弹性的概念、研究意义与应用,并以全球100所高校在图书情报学领域所组成的科研合作网络为例,选取网络最大簇规模和网络效率作为网络弹性测度指标,讨论节点点度失效、介数失效以及随机失效策略下该科研合作网络的弹性。结果显示,科研合作网络对随机节点失效具有较强的鲁棒性,其网络容错能力较强;对选择性节点失效的网络抗攻击能力较弱;网络效率相对于网络最大簇规模更适合作为科研合作网络弹性的测度指标。

本文引用格式

岳增慧 , 方曙 . 科研合作网络弹性研究与实证[J]. 图书情报工作, 2013 , 57(11) : 86 -89,95 . DOI: 10.7536/j.issn.0252-3116.2013.11.016

Abstract

The paper expounds the concept, research significance, and application of scientific collaboration network resilience, and takes a scientific collaboration network composed of 100 selected universities in the field of LIS as an example. Size of giant component and network efficiency are further selected as the metrics of network resilience to explore the scientific collaboration network resilience according to the node removal strategies of degree centrality, betweenness centrality and randomized ones. Results from the case study suggest that the scientific collaboration network has good robustness and strong fault tolerant ability for the random failure, while the anti-attack capability of the network for the selective failure is poor, and network efficiency is a better measurement index for the scientific collaboration network resilience than size of giant component.

参考文献

[1] 龚玉环,卜琳华.科研合作复杂网络及其创新能力分析[J].科学管理研究,2008(12):30-32,36.
[2] Liu Xiaofan, Xu Xiaoke, Small M, et al. Attack resilience of the evolving scientific collaboration network [J].PLoS ONE, 2011, 6(10):1-7.
[3] Franceschet M.Collaboration in computer science: A network science approach [J]. Journal of the American Society for Information Science and Technology, 2011, 62(10):1992-2012.
[4] 吕丽.一个科研合作复杂网络模型的相关实证研究[D].广州:暨南大学,2012.
[5] 2012/2013年世界大学排名U.S.News (1-100)[EB/OL].[2013-03-29]. http://www.university-list.net/rank1.htm.
[6] 吴俊,谭跃进.复杂网络抗毁性测度研究[J].系统工程学报,2005,20(2):128-131.
[7] Holme P, Kim B J, Yoon C N, et al. Attack vulnerability of complex networks[J]. Physical Review E, 2002, 65(5):1-14.

文章导航

/

〈 〉