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Research on Knowledge Structure of Information Science Based on Author Bibliographic-coupling Analysis
Received date: 2013-11-23
Revised date: 2013-12-08
Online published: 2014-01-05
Using author bibliographic-coupling analysis, this paper chooses the data of 7 information science journals indexed both in SCI and SSCI from 2000 to 2010 as the sample, and explores knowledge structure of Information Science during the new century. The research detects several scholars with strong vitality and broad influence, such as Thelwall, M、Leydesdorff, L、Cronin, B、White, HD、Meho, LI, etc.. Author posting content, coupling frequency, and the coupling network centrality are related, but the correlation is not strong. The paper explores the seven major research themes of Information Science: Scientometrics, network resource management and configuration, information retrieval, information system, knowledge management, user interaction and service, and scientific evaluation, among which, Scientometrics, network resource management and configuration are mainstream research fields. The research suggests that the integration between the research fields needs further reinforcement. Different from the author co-citation analysis, author bibliographic-coupling analysis makes currently active author as object, to explore the knowledge structure of information science from another perspective.
Song Yanhui , Wu Yishan . Research on Knowledge Structure of Information Science Based on Author Bibliographic-coupling Analysis[J]. Library and Information Service, 2014 , 58(01) : 117 -123 . DOI: 10.13266/j.issn.0252-3116.2014.01.017
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