摘要
总体来讲,作者之间的引证关系可以大致分成共被引、耦合和互引三个方面。其中,作者共被引分析自1981年被引入之后,便在探讨学科结构及其研究现状和趋势方面产生了极为广泛的应用。后来,2008年作者耦合概念的提出和实证探索又为学者利用耦合关系研究学科前沿、揭示学科知识结构提供了进一步发掘的空间。在作者互引方面,还多集中在基于引用认同和引证图像的引证行为本身的描述,而对于作者引证关系背后所隐含的知识交流、作者研究相关度、学术共同体发现等方面却没有过多的涉及。针对以上问题,笔者将以科学计量学领域内的核心作者为实证对象,在作者互引关系研究方面作出进一步系列的探索,以期对科学计量学的发展和引文分析的深入应用提供参考,其中本文主要利用社会网络分析方法对科学计量学领域作者互引关系及其网络结构进行深入探索,从互引角度为作者研究相关性、学术地位及知识交流情况提供一定的启示,从而也为后续研究做好铺垫。
Generally speaking, citation relationship among authors can be divided into 3 types: co-citation, coupling and cross-citation. Since author co-citation analysis was first introduced in 1982, it has been widely applied to study discipline structure, research state and research trends. Later on conception of author coupling was put forward and related empirical studies provided another way to further study the research frontier and reveal knowledge structure of disciplines. On the other hand, studies based on author cross-citation relationship mainly describe citation behaviors themselves using citation identity and citation image, they rarely involve any implicit knowledge communication, author research correlation or discovering academic community. We will therefore take the chance to further explore the author cross-cltation relationship with core authors in Scientometrics as study object in order to provide reference for development of scientometrics and in-depth application of citation analysis. This study will make a in-depth exploration in author cross- citation relationship and network structure in scientometrics field by Social Network Analysis method and provide some inspiration on the aspects of research correlations, academic status and knowledge exchange, thus paving the way for further research.
出处
《情报学报》
CSSCI
北大核心
2012年第9期915-924,共10页
Journal of the China Society for Scientific and Technical Information
基金
本文得到国家自然科学基金项目“基于作者学术关系的知识交流模式与规律研究”(批准号:70973093)和中央高校基本科研业务费专项资金项目“基于引证网络的知识交流与知识发现研究”(编号:201110401020006)资助.
关键词
科学计量学
社会网络分析
作者互引
知识交流
scientometrics, social network analysis (SNA), author cross-citation, knowledge exchange