期刊文献+

基于作者互引分析的国外情报学科结构可视化研究 被引量:4

Research on the Visualization of Library and Information Science Discipline Based on Author Cross-Citation Analysis
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摘要 基于作者互引在学科领域知识交流探测、科学结构发现等方面应用的可行性与适用性,综合利用引文网络分析、因子分析、可视化分析等方法对情报学科领域的高产作者、高被引作者、核心作者三个不同群体之间的互引情况进行深入剖析。发现该领域的研究主要表现为三个大类、10个子主题;高活跃作者之间的双向知识流动可推动科研合作,而由高被引作者向活跃作者之间的单向知识流动则可促进权威学者的产生;但该学科结构发展不够均衡,要向成熟学科迈进,还需致力于研究特性与交叉综合性的协调提升。 In the view of feasibility and applicability of author cross-citation in knowledge communica- tion exploration and scientific structure discovery, this paper deeply analyzed the situation about author cross-citation among prolific authors, highly-cited authors and core authors in the field of Information Sci- ence using a combined method with citation network analysis, factor analysis, visualization analysis, and so on. The results revealed: the research subjects in this area could be divided into three classes including 10 subjects; the knowledge communication in this discipline would lead to scientific cooperation by the cross-citation among prolific authors or a producing of authoritative scholars through active authors citing highly-cited authors; but there is an obvious imbalance in the discipline evolution, which means synchro- nous promotion of research specialty and cross comprehensiveness would be in need if this discipline are striding forward to the mature ones.
出处 《情报科学》 CSSCI 北大核心 2015年第7期63-69,共7页 Information Science
基金 国家社科基金项目(11CTQ015) 15科研基地建设-科技创新平台-北京市社会经济系统管理创新研究(011000546615003)
关键词 作者互引 情报学 引文网络 可视化 author cross-citation library and information science citation network visualization
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参考文献16

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