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中文摘要：
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。
英文摘要：
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.
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