作者共被引分析作为一种定量的情报研究方法,自1981年被引入之后,在探讨学科结构及其研究现状和趋势方面有着极为广泛的应用.本文对CSSCI收录的2000～2009年情报学领域的70 947篇被引文献进行了区别于传统模式下的共被引分析,即综合采用引文分析、因子分析以及社会网络分析等多种方法对国内情报学领域高被引作者的共被引关系进行深入发掘,进一步尝试实现其研究影响力情况以及该领域学科结构的探索分析.%As an important method of information researches, author co-citation analysis (ACA) has a very widerange of applications in exploring subject structure and research status and trends. To the 70947 cited articles in the information science field included by CSSCI from 2000-2009, this paper makes an author co-citation analysis which is different from the traditional mode, that is, using a combination oi citation analysis, factor analysis and social network analysis (SNA) to further explore the relationship of the highly-cited authors in domestic information science field and attempt to explore of the situation of authors influences and subject structure in the field.
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