摘要
[目的/意义]作者耦合分析是文献计量学中探测学科知识结构的常用方法之一,作者关键词耦合分析(AKCA)已经获得了广泛应用,但是鲜有作者分类号耦合分析(ACCA)。[方法/过程]以国内图书馆学期刊论文为样本,分别基于中图分类号和关键词两类特征项,构建作者耦合关系网络。采用QAP相关分析、因子分析、社会网络分析及可视化方法,对作者分类号耦合分析和作者关键词耦合分析的效果进行比较。[结果/结论]作者分类号耦合与作者关键词耦合均适用于发掘潜在合作关系。作者分类号耦合分析在网络密度、关系强度、聚类效果等方面,表现出比作者关键词耦合更好的分析效果。两种方法在揭示学科知识结构时各有优劣,无法相互取代。
[ Purpose/Significance] Author Coupling Analysis is one of the most popular methods to explore the knowledge structure of a discipline. Author Keyword Coupling Analysis has been widely applied while Author Classification Coupling analysis is rare in the existing researches. [Method/Process]Taking the papers published in the Chinese journals in Library Science as the sample,this study constructs two kinds of author coupling networks based on Chinese Library Classification （CLC） codes and keywords respectively. By means of QAP Correlation Analysis,Factor Analysis,Social Network Analysis and Visualization,it carries comparison between Author Coupling Analy-sis （ACCA） and Author
作者
温芳芳
We n Fang fang(College of Management,Henan University o f Science and Technology,Luoyang 471023)
出处
《情报杂志》
CSSCI
北大核心
2017年第11期186-191,共6页
Journal of Intelligence
基金
国家社会科学基金青年项目"面向专利数据的多重共现分析方法及其在技术创新网络中的应用研究"(编号:14CTQ018)
河南省高等学校哲学社会科学研究优秀学者资助项目(编号:2017-YXXZ-07)的成果
关键词
耦合分析
作者分类号耦合
作者关键词耦合
潜在合作
Coupling Analysis （AKCA）. [ Result/Conclusion] The results indicate that both ACCA and AKCA are fit for exploring the potential collaboration relations. ACCA has better analytical effect in some aspects including network density, rela-tion intensity and clustering effect. When the two methods are applied in revealing the knowledge structure of a discipline,both of them have advantages and disadvantages,and cannot replace each other.Keywords coupling analysis author classification coupling author keywords coupling potential collaboration
