基于双聚类算法探测档案学研究领域知识基础及学科前沿

Bi-Clustering-Based Study of Knowledge Bases and Research Forefronts in Archive Science

利用gCLUTO对CSSCI中收录的近五年档案学研究领域文献的高被引及其来源文献进行双向聚类,某一热点知识基础为高被引论文,基于聚类得到高被引论文簇关系密切的来源文献作为研究前沿。得出档案学领域的基础理论研究、电子文件管理、数字档案馆、档案事业史、口述历史档案、档案记忆理论、档案保护和档案学专业教育改革8类研究热点的知识基础及研究前沿。

The present study deploys g CLUTO, and surveys CSSCI database to retrieve highly-cited publications in archive science published in the last five years. Then bi-clustering is conducted, the publications representing knowledge hotspot bases, while their sources being the research forefronts. Findings indicate that the knowledge bases and research forefronts cover eight areas, including basic theoretical studies, electronic record management, digital archives, archival history, oral archives, archival memory theory, archive protection technology, and educational reform of archive science.