现代情报2024，Vol.44Issue(5)：3-19,17.DOI:10.3969/j.issn.1008-0821.2024.05.001
基于共被引方法的情报学前沿领域识别与演进趋势分析
Research Fronts Identification and Evolution Trend Analysis of Information Science based on Co-Citation Method
摘要
Abstract
[Purpose/Significance]In order to reveal the development path and characteristics of information science at home and abroad in a more comprehensive and detailed way,so as to help scholars have a deeper understanding of the development of the field from a more macro perspective.[Method/Process]This paper took the representative core journal papers in the field of information science at home and abroad as data sources,and adopted methods such as co-citation a-nalysis,word frequency method and knowledge graph to visually present the research fronts and evolution trends in the field of information science at home and abroad.[Results/Conclusion]Firstly,the comparison reveals that there are both simi-larities and differences in the research front topics of information science at home and abroad.Secondly,the classical re-search front evolution path in the field of domestic information science include the evolution path focusing on library informa-tion service and the evolution path focusing on metrology and information visualization,while the classic research front evo-lution path in foreign countries is the evolution path focusing on user perception and user behavior.The fundamental reason for the difference in the performance of typical research front evolution paths at home and abroad lies in the different origins,development backgrounds and research paradigms of information science at home and abroad.关键词
共被引分析/情报学研究/研究前沿识别/演进趋势/国内外对比Key words
information science/research frontier/evolution trend/co-citation analysis/comparison at home and abroad分类
社会科学引用本文复制引用
高楠,周庆山..基于共被引方法的情报学前沿领域识别与演进趋势分析[J].现代情报,2024,44(5):3-19,17.基金项目
国家社会科学基金青年项目"基于多源数据的新兴技术识别方法与演化路径研究"(项目编号:21CTQ038). （项目编号:21CTQ038）
