首页> 中文期刊> 《情报杂志》 >基于期刊作者耦合的学科知识聚合研究

基于期刊作者耦合的学科知识聚合研究

         

摘要

学术期刊是科学文献的重要载体,是学者进行知识交流和传播的重要平台。阐述了期刊作者耦合分析的实现方法,并以国内图书馆、情报与文献学领域的20种核心期刊为例进行实证研究,通过VOSviewer聚类结果和多维尺度分析结果的比较研究,将该领域分为情报学、图书馆学和档案学三个大的研究分支,验证了期刊作者耦合分析方法对于中文期刊的适用性,同时也发现期刊作者耦合分析是一种探测学科知识结构的新方法,可用于学科知识聚合的研究。%Academic journal is an important carrier of scientific literature, and is an important platform for academics knowledge commu-nication and transmission. This paper expounds the implementation of journal-author coupling analysis method, and with 20 core journals in the field of information science and library science in China for empirical study, by comparing VOSviewer clustering results with the re-sults of multidimensional scaling analysis, the field is then divided into three large research branches:information science, library science and archival science. As a result, the applicability of journal-author coupling analysis method to the analysis of the Chinese periodicals is verified, and it is found that the method is a new applicable method for detecting discipline knowledge structure which can be used in disci-pline knowledge aggregation.

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