网络计量学的研究前沿识别路径构建

Construction of Research Front Identification Pathways for Webometrics

摘要: 随着科学技术快速发展，准确把握学科发展动向、捕捉新兴研究主题成为科研管理与学术创新的重要支撑。传统的文献综述或专家判断方式在应对海量学术数据时存在主观性强、时效性不足等问题，亟需借助科学计量工具实现客观可视化的前沿探测。本研究聚焦于科学知识演进过程中研究前沿的动态识别问题，提出一种基于CiteSpace的系统性识别路径，并以网络计量学作为实证领域进行方法验证。研究通过构建完整分析路径，系统梳理了网络计量学领域在中国知网核心合集收录文献的知识结构与发展轨迹。本研究不仅为网络计量学的发展提供了结构化认知框架，也为其他学科领域的研究前沿监测提供可复制的方法范式，推动科学计量学的方法论演进与应用场景拓展。

Abstract: With the rapid development of science and technology, accurately grasping the trends of discipline development and capturing emerging research topics have become important supports for scientific research management and academic innovation. Traditional literature reviews or expert judgment methods have problems such as strong subjectivity and insufficient timeliness when dealing with massive academic data. There is an urgent need to rely on scientometric tools to achieve objective and visualized frontier exploration. This study focuses on the dynamic identification of research frontiers in the process of scientific knowledge evolution, proposes a systematic identification path based on CiteSpace, and uses Webometrics as an empirical field for method verification. The research systematically sorted out the knowledge structure and development trajectory of the literature included in the core collection of China National Knowledge Infrastructure (CNKI) in the field of Webometrics by constructing a complete analysis path. This research not only provides a structured cognitive framework for the development of Webometrics, but also offers a replicable methodological paradigm for monitoring the research frontiers in other disciplines, promoting the methodological evolution and application scenario expansion of scientometrics.