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[目的/意义]学科知识扩散的路径识别是衔接知识扩散网络宏观特征和微观作用模式之间的重要桥梁,文章旨在总结当前学科知识扩散网络路径识别的研究现状,分析问题并总结发展趋势。[方法/过程]文章回顾了学科知识扩散过程、主路径识别、扩散路径的语义分析与路径的结构拓展相关研究现状。[结果/结论]当前的路径识别研究主要依赖网络拓扑结构分析或语义识别,且未能揭示其他类型主题的扩散路径;认为通过网络拓扑结构分析与主题语义挖掘的融合提升路径识别研究的精度,和通过识别反映学科知识扩散多样性的多类主题提升路径识别研究的广度是未来相关发展的主要方向。
[Purpose / Significance] The path identification of disciplinary knowledge diffusion is an important bridge linking the macroscopic and microscopic modes of knowledge diffusion networks. The purpose of this paper is to summarize the present research status of path identification of current knowledge diffusion networks, analyze the problems and summarize the development trends. [Methods / Processes] This paper reviews the current state of research on the process of subject knowledge diffusion, principal path identification, semantic analysis of diffusion paths and structure extension of paths. [Result / Conclusion] The current path identification mainly relies on network topology analysis or semantic recognition, and fails to reveal the diffusion paths of other types of topics. It is believed that the fusion of network topology analysis and topic semantic mining enhances the accuracy of path identification research, And increasing the breadth of path identification by identifying multiple topics that reflect the diversity of discipline diffusion are the main directions for future developments.