基于检索领域引文的知识交流特征研究

Research on the Characteristics of Knowledge Exchange Based on Citation in Retrieval Domain

【目的/意义】不同学科间的知识交流促进了新方法产生和创新,知识检索领域与其他学科进行知识交流是自身发展的重要方式。【方法/过程】通过引文分析和社会网络分析方法,对CNKI上知识检索领域文献的知识交流时间特征、期刊引用关系以及学科特征进行分析。【结果/结论】在时间上年份较新的文献利用程度弱,其价值需要人们一定时间的挖掘,通常学者将这种引用表现称之为"睡美人"现象。根据整体学科网络可以将子群划分为图书情报学、计算机信息科学以及医学信息学,其中图书情报学子群对其他子群的知识输出最多,影响力也最大。在学科特征方面,应用型学科是检索领域知识交流过程中的"主要力量",而基础型学科起到的只是"启发式知识输出"的作用。【创新/局限】根据引文关系将文献刊载的期刊划分成学科,结合社会网络分析方法分析学科的具体网络特征;研究局限是选取的被引期刊数量有限,未能全面的揭示领域知识交流特征。

【Purpose/significance】Knowledge exchange among different disciplines promotes the generation and innovation of new methods, and knowledge exchange between knowledge retrieval field and other disciplines is an important way of self-development.【Method/process】This paper analyzes the time characteristics of knowledge exchange, periodical citation relations and discipline characteristics of the literature in the field of knowledge retrieval on CNKI through citation analysis and social network analysis methods.【Result/conclusion】In terms of time, the use of relatively new literature is weak, and its value needs to be explored in a certain period of time. Generally, scholars refer to this kind of citation as the phenomenon of "sleeping beauty". According to the overall subject network, subgroups can be divided into library information science, computer information science and medical information science.Among them, library information science has the most knowledge output and influence on other subgroups. In terms of discipline characteristics, applied discipline is the "main power" in the process of domain knowledge exchange, basic discipline only plays the role of "heuristic knowledge output".【Innovation/limitation】According to the relationship between citations, the journals published in literature are divided into disciplines, and the specific network characteristics of disciplines are analyzed by combining with the method of social network analysis;the research limitation is that the number of cited journals is limited, and the characteristics of domain knowledge exchange are not fully revealed.