作者文献耦合是一种能有效反映某领域研究状况的研究方法。本文选取了CSSCI收录的我国情报学领域2008-2017年间的期刊论文为研究数据，以作者文献耦合为主要研究方法，并结合社会网络分析、因子分析等方法对我国情报学领域的核心作者、作者关系网络以及研究主题进行了探究。研究发现，邱均平、王知津等为这一时期内我国情报学领域的核心作者；这一时期内，情报学领域作者的研究活跃度较低，联系并不紧密，作者研究关系网络十分松散；研究主题集中在信息计量与科学评价、信息分析与信息服务、竞争情报、数据挖掘与知识发现等方面，研究者更习惯于某一主题的深入研究，研究领域较窄。

Author Bibliographic-Coupling Analysis(ABCA) is a method that can reflect the knowledge structure effictively. This article selects papers about the field of information science from CSSCI which published from 2008 to 2017 as a sample and analyses them by the method of Author Bibliographic-coupling Analysis, Social Network Analysis and factor analysis. The study finds the main authors such as Qiu Junping, Wang Zhijing in the field of information science in China during this period. And it also finds that the researchers are not active and the relationship between each other is not close and the reseach relation network was loose. The main research topic are infometrics, information analysis and information service, competitive intelligence, data mining and knowledge discovery and so on, most researchers concentrate on one field and they are used to study one theme deeply rather than study more related theme.