摘要
探究高校图书馆科研支持服务的主题分布、演化规律及技术与制度主题关联性,为图书馆优化科研支持服务、深化相关研究提供理论与实践参考。以中国知网(CNKI)、Web of Science核心合集数据库为数据源,检索2010—2025年相关文献,运用BERTopic模型、logistic增长模型及共现网络分析方法,对相关文本进行主题挖掘、时间演化分析和技术与制度主题关联分析。研究识别出19个主题,划分为资源获取与管理、创新与多元环境、学生信息与素养、学术资源与传播、服务质量与体系和技术应用与创新6个集群;揭示不同主题的生命周期特征,发现技术与制度主题强关联性,二者通过双向互动形成协同网络。
This study explores the thematic distribution,evolutionary patterns,and correlation mechanism between technology and institutions in research support services of university libraries,aiming to provide theoretical and practical guidance for optimizing these services and advancing related research.Drawing on the China National Knowledge Infrastructure(CNKl)and the Web of Science Core Collection as data sources,this study retrieves relevant research from 2010 to 2025.BERTopic,the logistic growth model,and co occurrence network analysis are applied to conduct thematic mining,analyze temporal evolution,and explore the correlation between technology-and institution-related themes in studies on university library research support services.Nineteen themes are identified and clustered into six groups:resource acquisition and management,innovation and diverse environment,students'information literacy,academic resources and dissemination,service quality and system,and technological applications and innovation.The research reveals the characteristics of the lifecycles of different themes and discovers a strong correlation between technologyand institution-related themes,which together form a collaborative network through bidirectional interaction.
作者
周晨新
周力虹
Zhou Chenxin;Zhou Lihong
出处
《图书馆学研究》
北大核心
2025年第11期81-94,共14页
Research on Library Science
基金
国家社会科学基金重点项目“面向人工智能驱动科学(AI4S)的高校图书馆科研支持服务研究”(项目编号:24TQA00840)的研究成果之一。
