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知识图谱分析虽然已经成为科学计量学的主要研究方法之一,但对于利用该方法发现学科生长点的可靠性检验大多还停留在经典案例的印证阶段。本文使用基于高频关键词的文献耦合网络回归共词网络指向的施引论文网络,通过比较高被引与零被引论文的节点度数、中介中心性以及孤立节点数等网络特征指标,考察了共词分析结果的可靠性。研究结果显示,高频词关键词更多地指向高被引文献,但使用节点的度数和中介中心性指标去判断节点价值具有不确定性。同时,本文也对标准叙词应用与知识图谱数据采集问题进行了讨论。
Though the analysis of knowledge atlas has become one of the main research methods of scientometrics, the reliability test of discovering the growth points of disciplines using this method mostly stays in the proof phase of classical cases. This paper uses the literature based on high-frequency keywords to document the citation network that the co-word network points to. By comparing the network features index of highly cited and zero-cited papers, such as network centroid and number of isolated nodes, Co-word analysis of the reliability of the results. The results show that the high-frequency words are more directed towards highly cited documents, but the use of node degrees and intermediary centripetal index to determine the value of nodes is uncertain. At the same time, this article also discussed the application of standard thesaurus and the data acquisition of knowledge atlas.