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New Technology of Library and Information Service  2011, Vol. 27 Issue (4): 58-63    DOI: 10.11925/infotech.1003-3513.2011.04.10
Current Issue | Archive | Adv Search |
Co-authorship Network Analysis in the Research Field of Search Engine’s Log Mining
Wang Jimin1, Lilei Mingzi1, Zhang Peng2
1. Department of Information Management, Peking University, Beijing 100871, China;
2. Electronic Technology Information Research Institute, Ministry of Industry and Information Technology, Beijing 100040,China
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Abstract  Based on the papers indexed by Web of SCI and EI on the theme of search engine’s log mining, this paper constructs a co-author network of this field, and analyses the centrality, small world features, connectivity and other basic characteristics of this network. Furthermore, it also explores the core cooperative research teams, the team members and their research contents.
Key wordsSearch engine      Log mining      Social network analysis      Co-authorship network     
Received: 14 March 2011      Published: 11 June 2011



Cite this article:

Wang Jimin, Lilei Mingzi, Zhang Peng. Co-authorship Network Analysis in the Research Field of Search Engine’s Log Mining. New Technology of Library and Information Service, 2011, 27(4): 58-63.

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[1] 李晓明, 闫宏飞, 王继民. 搜索引擎——原理、技术与系统[M]. 北京: 科学出版社,2005.

[2] 林莉. 科研论文合著网络结构与合作关系研究[D]. 长春:吉林大学, 2010.

[3] Newman M E J. Scientific Collaboration Networks (I): Network Construction and Fundamental Results[J]. Physical Review E, 2001, 64(1):1-8.

[4] Liu X, Bollen J, Nelson M L, et al. Co-authorship Networks in the Digital Library Research Community[J]. Information Processing and Management, 2005, 41 (6):1462-1480.

[5] Erman N, Todorovski L. Analyzing the Structure of the EGOV Conference Community[C]. In: Proceedings of International Federation for Information Processing 2010.Berlin: Springer-Verlag,2010:73-84.

[6] 李亮, 朱庆华. 社会网络分析方法在合著分析中的实证研究[J].情报科学,2008, 26(4):549-555.

[7] Nascimento M A, Sander J, Pound J. Analysis of SIGMOD’s Co-authorship Graph[J]. SIGMOD Record, 2003, 32(3):8-10.

[8] Ding Y. Scientific Collaboration and Endorsement: Network Analysis of Co-authorship and Citation Networks[J]. Journal of Informetrics, 2011, 5(1):187–203.

[9] 孟微, 庞景安. 我国情报学科研合著网络研究及其特征参数分析[J].情报理论与实践,2009,32(8): 12-15.

[10] Nooy W d, Mrvar A, Batagelj V. Exploratory Social Network Analysis with Pajek[M]. Cambridge: Cambridge University Press,2005.

[11] 刘军. 社会网络分析导论[M]. 北京: 社会科学文献出版社, 2004.

[12] 王建冬,张鹏,王继民. 我国数字图书馆研究论文(2005-2009)的统计分析——服务研究[J]. 数字图书馆论坛, 2010(3):81-88.

[13] 吴金闪,狄增如. 从统计物理学看复杂网络研究[J]. 物理学进展, 2003, 24(1):18-46.
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