基于合作分析的知识聚合与学科知识结构研究——以国内知识管理领域为例  

Research on the Knowledge Aggregation and Subject Knowledge Structure Based on Collaboration Analysis

作　　者：邱均平[1,2] 刘国徽[1,2] 董克[1,2] 

机构地区：[1]中国科学评价研究中心,湖北武汉430072 [2]武汉大学信息管理学院,湖北武汉430072

出　　处：《情报理论与实践》2014年第8期6-11,共6页Information Studies:Theory & Application

基　　金：国家社会科学基金重大项目"基于语义的馆藏资源深度聚合与可视化展示研究"的成果;项目编号:11&ZD152

摘　　要：合作分析是计量方法应用于学科领域知识聚合的一种重要途径。传统的作者合作分析流程明确、方法成熟,近年来在此基础上衍生出了拓展性的作者关键词耦合。文章运用合作分析和作者关键词耦合进行聚合研究,以国内知识管理研究领域为例,在作者层面,分析了知识显性聚合、作者—关键词关联聚合、知识隐性聚合,发现知识隐性聚合能清楚、全面地揭示出作者之间的关系与学科领域知识结构。在此基础上,进一步深化得到作者—主题关联聚合,其可视化结果更加具有可读性,因此作者—主题关联聚合方法是分析学科领域知识结构的理想方法。Collaboration analysis is an important way to apply bibliometrical method to knowledge aggregation in discipline area. The process and method of traditional author collaboration analysis is clear and mature, and on the basis of this, the author-keyword coupling is derived in recent years. This paper uses collaboration analysis and author-keyword coupling for the research on aggregation. Taking the field of the studies of knowledge management in China as an example, the paper analyzes knowledge explicit aggregation, author-keyword association aggregation and knowledge tacit aggregation from the aspect of author, which find that knowledge tacit aggregation can clearly and fully reveal the relationship between the authors and knowledge structure in the discipline area. On the basis of this, the paper gets author-topic association aggregation from the further deepening, and the visualized result is more readable. Therefore, author-topic association aggregation method is an ideal method for the analysis of knowledge structure in discipline area.

关 键 词：合作分析 知识聚合 作者关键词耦合 知识结构 

分 类 号：G302[文化科学]