摘要
以耦合分析方法为基础,证明耦合分析对于探索学科内部结构的有效性,以期为以后的研究提供借鉴和参考,促进耦合分析多样化发展和在知识分析中的推广应用。综合运用因子分析、聚类分析、多维尺度分析、社会网络分析等方法,利用期刊耦合分析与作者耦合分析方法对图书情报学的学科内部结构进行分析。在期刊耦合分析中,开创性地选取了新的耦合对象——被引期刊,建立期刊-引文期刊耦合强度指标,将图书情报学18种期刊划分为四类;在作者耦合分析中,加入了内容分析法——共词分析,通过共同的词语将作者联系到一起,发现其研究的同一主题,建立作者关键词耦合强度指标,运用社会网络分析法,将核心作者划分为六类。研究结果与图书情报学科的研究主题及学科特点基本一致,且划分更为细致,分别说明了期刊-引文期刊耦合分析和作者耦合分析的有效性,也证明了耦合分析对于分析学科内部结构的有效性。
Based on the coupling analysis, this paper demonstrates the effectiveness of coupling analysis for explorating the internal structure, so as to provide reference for future research, and to promote the development of diversification of coupling analysis and application in the knowledge analysis. This study respectively uses the periodicals coupling and authors coupling to analyze the internal structure of information science. In periodicals coupling analysis, the paper selects pioneering new coupling object, cited journals to set up journal- cited journal coupling strength index, and divides 18 kinds of information science periodicals into four categories. In the authors coupling analysis, the paper joins the content analysis method, word analysis, to link authors through the common words to find the same theme research, and to set up the author keywords coupling strength index. With social network analysis, the core authors is divided into six types. Results turn out to be the same with the topics and disciplines characteristics of information science, and be more detailed. It illustrates the effectiveness of the journal - cited journals coupling analysis and the authors coupling analysis and provies the effectiveness of the coupling analysis for the internal structure of diacipline.
出处
《情报科学》
CSSCI
北大核心
2016年第12期108-114,共7页
Information Science
关键词
期刊耦合分析
作者耦合分析
学科内部结构
periodicals coupling analysis
authors coupling analysis
internal structure of discipline
