学科知识扩散网络路径识别研究进展

Research Progress on Path Recognition of Subject Knowledge Diffusion Network

[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 recognition of subject knowledge diffusion plays an important role in bridging macro characteristics of knowledge diffusion network and micro functioning model. This paper aims to analyze existing problems and show the development trend based on the summary of current researches on path recognition of subject knowledge diffusion network.[Method/process]The paper reviews subject knowledge diffusion process,main path recognition,the semantic analysis on diffusion path and research status related to the structural expansion of paths. [Result/conclusion]The paper finds out that current path recognition researches only depend on network topology analysis or semantic recognition but ignore diffusion paths of other theme types. The paper predicts that future study will focus on two directions： one is improving the precision of path recognition research through the fusion of network topology analysis and theme semantic mining,and the other one is expanding the scope of path recognition research by multiple themes that reflect the diversity of subject knowledge diffusion.