Journal cross-citation analysis for validation and improvement of journal-based subject classification in bibliometric research

被引：41

作者：

Zhang, Lin ^{[1
,2
]}

Janssens, Frizo ^{[1
,3
]}

Liang, Liming ^{[2
,4
]}

Glanzel, Wolfgang ^{[1
,5
]}

机构：

[1] Katholieke Univ Leuven, Dept MSI, Ctr R&D Monitoring, Leuven, Belgium

[2] Dalian Univ Technol, WISE Lab, Dalian, Peoples R China

[3] Katholieke Univ Leuven, ESAT SCD, Leuven, Belgium

[4] Henan Normal Univ, Inst Sci Technol & Soc, Xinxiang, Peoples R China

[5] Hungarian Acad Sci, IRPS, Budapest, Hungary

来源：

SCIENTOMETRICS | 2010年 / 82卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Journal cross-citation; Cluster analysis; Mapping of science; Subject classification; COCITATION ANALYSIS; SCIENCE; NETWORKS;

D O I：

10.1007/s11192-010-0180-1

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The objective of this study is to use a clustering algorithm based on journal cross-citation to validate and to improve the journal-based subject classification schemes. The cognitive structure based on the clustering is visualized by the journal cross-citation network and three kinds of representative journals in each cluster among the communication network have been detected and analyzed. As an existing reference system the 15-field subject classification by Glanzel and Schubert (Scientometrics 56:55-73, 2003) has been compared with the clustering structure.

引用

页码：687 / 706

页数：20

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