基于主成分分析法的期刊评价模型构建  

Construction of Journal Evaluation Model Based on the Principal Component Analysis

作　　者：李跃艳 熊回香[1] 李晓敏 Li Yueyan;Xiong Huixiang;Li Xiaomin(School of Information Management,Central China Normal University,Wuhan 430079)

机构地区：[1]华中师范大学信息管理学院

出　　处：《情报杂志》2019年第7期199-206,F0003,共9页Journal of Intelligence

基　　金：国家社会科学基金项目“大众分类中标签见语义关系挖掘研究”(编号:12BTQ038)的研究成果之一

摘　　要：[目的/意义]为避免单一指标期刊评价产生偏差的情况,建立科学合理的期刊评价指标体系和期刊评价模型,对学术期刊的正确评价具有非常重要的现实意义和应用价值。[方法/过程]从期刊引用认同和期刊引用形象两方面构建期刊评价指标体系,通过主成分分析法,确定期刊评价的维度,最终建立期刊评价模型,并进行实证分析。[结果/结论]分析表明,决定期刊质量的维度主要分为广度和深度,广度表示引文分布的影响范围,而深度表示影响程度。基于期刊引用认同和期刊引用形象两方面同时考虑能更有效地对学术期刊进行客观的评价。[Purpose/Significance] In order to avoid the bias of single-index journal evaluation,it is of great practical significance and application value to establish a scientific and reasonable journal evaluation index system and journal evaluation model.[Method/Process] This paper establishes the evaluation index system from the journal citation identities and the journal citation image,and determines the dimensions of journal evaluation through the principal component analysis.Finally,the journal evaluation model is established,and an empirical analysis is conducted.[Result/Conclusion] The analysis shows that the dimensions that determine the quality of journals mainly include breadth and depth.Breadth indicates the scope of the citation distribution,and depth indicates the degree of impact.It is more effective to objectively evaluate the academic journals based on journal citation identities and journal citation image.

关 键 词：主成分分析法 期刊引用认同 期刊引用形象 期刊评价指标体系 期刊评价模型 

分 类 号：G350[文化科学—情报学]