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基于共词分析法的学科关联分析——以图书情报学、经济学与管理学为例 被引量:7

The Analysis of Subject Associations Among LIS,Economics and Management Based on Co-word Analysis
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摘要 图书情报学、经济学与管理学作为有一定相关度的社会科学,学科间知识渗透愈加明显。为研究这三个学科间的关联,使用在情报学研究中广泛应用的共词分析法,构造三学科的共现关键词集。抽取高频共现关键词进行分析,利用VOSviewer构建学科交叉知识图谱,计算出学科间Pearson相关系数,指出三学科间关联的内容、强度与变化趋势。 As closely relevant social sciences, the knowledge infiltration among LIS, economics and management is becoming more evident. In order to research on subject associations among the three disciplines,this paper uses co-word analysis which is widely applied in the study of information and constructs sets of cooccurrence key words of the three disciplines and then does qualitative research based on extracting high-frequency co-occurrence key words and using VOSviewer to establish interdisciplinary knowledge maps. The quantitative research of calculating discipline Pearson correlation coefficients is present in this paper. This paper points out the content,strength and trend of subject associations among the three disciplines.
机构地区 南京大学
出处 《大学图书情报学刊》 2017年第6期83-90,120,共9页 Journal of Academic Library and Information Science
基金 南京大学国家级创新项目(G201610284101)
关键词 共现关键词 学科关联 知识图谱 相关系数 VOSviewer co-occurrence key words subject association knowledge map correlation coefficient VOSviewer
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