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題名：學科知識擴散網絡路徑識別研究進展
書刊名：情報理論與實踐
作者：董克／張斌
出版日期：2017
卷期：2017(8)
頁次：139-144
主題關鍵詞：學科知識；知識擴散；知識網絡；路徑識別；引文網絡；Subject knowledge；Knowledge diffusion；Knowledge network；Path recognition；Citation network
原始連結：連回原系統網址new window
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[目的/意義]學科知識擴散的路徑識別是銜接知識擴散網絡宏觀特征和微觀作用模式之間的重要橋梁,文章旨在總結當前學科知識擴散網絡路徑識別的研究現狀,分析問題并總結發展趨勢。[方法/過程]文章回顧了學科知識擴散過程、主路徑識別、擴散路徑的語義分析與路徑的結構拓展相關研究現狀。[結果/結論]當前的路徑識別研究主要依賴網絡拓撲結構分析或語義識別,且未能揭示其他類型主題的擴散路徑;認為通過網絡拓撲結構分析與主題語義挖掘的融合提升路徑識別研究的精度,和通過識別反映學科知識擴散多樣性的多類主題提升路徑識別研究的廣度是未來相關發展的主要方向。
[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.
期刊論文
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