摘要
作为一种重要的情报学分析方法,引文分析法自问世以来就深受国际图情界重视,并得到作者同被引（ACA）和引用认同（CI）等重大改进,但ACA对施引者尤其是高影响力施引者关注不足,而CI不便于应用。为弥补上述缺憾,提出引荐分析法（CRA）,它综合了引文分析法和知识图谱等方法,通过分析高影响力作者的施引列表来寻找该作者眼中的学界同行,在对大量专家的引荐结果进行汇总后可获得较为精确的领域研究结构全景图。采用h指数遴选学科专家,并以国内图情界为例进行了实证研究,结果表明CRA不仅有助于挖掘更为丰富的引文信息,为分析学科结构提供新的方法,而且有助于丰富社会网络研究。
As an important analysis method in Information Science,Citation Analysis gained special attention by researchers from LIS field all over the world since it was proposed.Though the theory of Citation Analysis was developed greatly by Author Co-citation Analysis（ACA） and Citation Identity（CI）,there are still some limitations in it：ACA pays little attention on the citers especially the high influence citers and CI is not convenient to use.To solve the drawbacks mentioned above,the paper proposed Citation Recommendation Analysis（CRA） as a new citation analysis method.It integrated Citation analysis and Knowledge Map together by searching the peers of the high influence authors through analyzing their citation identity to draw an accurate map of a field.The paper carried a case study of LIS field of China by using h-index to choose experts and CRA to analyses the citations, and draw a conclusion that CRA could find more information from citations which was ignored by traditional Citation Analysis and is a promising approach to analyze the structure of a discipline and the study of social network may be benefited from it.
出处
《情报学报》
CSSCI
北大核心
2010年第4期671-678,共8页
Journal of the China Society for Scientific and Technical Information
