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基于超网络的科技论文关键词关联分析
引用本文:吴蕾,梁晓贺,宋红燕.基于超网络的科技论文关键词关联分析[J].情报学报,2020(3):253-258.
作者姓名:吴蕾  梁晓贺  宋红燕
作者单位:中国农业科学院农业信息研究所
基金项目:国家社会科学基金青年项目“基于图模型的农业领域多源知识迁移研究”(18CTQ028);国家自然科学基金面上项目“农业大数据环境下多粒度知识融合方法研究”(31671588);中央科研院所基本科研业务费项目“农业重点学科领域发展态势分析”(Y2017ZK05)。
摘    要:科技论文关键词呈现多类型、多关联关系的属性,可以借助具有多层次、多超边的超网络进行表示建模。本研究构建了由研究对象-实验品种-研究用途-技术方法 4层关键词子网和多种关联超边组成的超网络模型,并将该超网络模型用于"农业动物生殖细胞和干细胞调控"领域的科技论文的实证分析。该超网络模型在揭示单层关键词子网同质关联关系的同时,也能挖掘多层子网之间的隐性异质关联关系,从而发现了该领域常用技术方法、实验品种、研究对象和研究用途,同时还发现了该领域的技术空白点和技术应用空白点,这些空白点很可能成为未来的研究热点。

关 键 词:分析  关联分析  超网络  科技论文

A Method of Keywords Association Analysis of Scientific Papers Based on Super-network
Wu Lei,Liang Xiaohe,Song Hongyan.A Method of Keywords Association Analysis of Scientific Papers Based on Super-network[J].Journal of the China Society for Scientific andTechnical Information,2020(3):253-258.
Authors:Wu Lei  Liang Xiaohe  Song Hongyan
Institution:(Agricultural Information Institute of CAAS,Beijing 100081)
Abstract:Keywords in scientific papers present attributes of multiple types and multiple relationships. They can be modeled by a super-network with multiple levels and multiple edges. In this paper, there are 4 layers of research object keywords, experimental variety keywords, research purpose keywords, and technical method keywords. Subsequently, the super-network is applied to scientific papers of"regulation of reproductive cells and stem cells in agricultural animals."The super-network model not only reveals the homogeneous association of a single layer, but also exhibits the hidden heterogeneous associations among multiple layers. As a result, common technical methods, experimental varieties, research objects,and research purposes in the field have been found. At the same time, technical blank spots and application blank spots of technology in the field have also been found, which are likely to be the focus of future research.
Keywords:analysis  association analysis  super-network  scientific papers
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