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The representation and analysis methods of domain knowledge of scientific research organization based on knowledge network

机译:基于知识网络的科研组织领域知识的表示与分析方法

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The methodology of modeling and analyzing of a knowledge network are discussed in this article. Two steps will be taken to establish the model of a knowledge network for a scientific organization. Based no the network model, the density, betweenness centrality and structure expression analysis will be conducted. The calculation result of the density provides an objective indicator for the researchers to compare with two scientific organizations which are similar in scale. In addition, the betweenness centrality and the successive reduction method identify the level which determines whether the node is important or not. Furthermore, with the clique analysis and the hierarchy cluster method, we achieve the goal to express the structure of the network, which is critical for further study. At last, a numeric example based on the data from Shanghai Institution for Science of Science confirms the feasibility of the methodology of modeling and analysis.
机译:本文讨论了知识网络的建模和分析方法。将采取两个步骤来建立用于科学组织的知识网络的模型。在没有网络模型的情况下,将进行密度,中介中心性和结构表达分析。密度的计算结果为研究人员与规模相似的两个科学组织进行比较提供了客观的指标。另外,中间性中心度和连续缩减方法确定确定节点是否重要的​​级别。此外,通过集团分析和层次聚类方法,我们达到了表达网络结构的目的,这对于进一步研究至关重要。最后,以上海科学院数据为基础的数值算例验证了建模与分析方法的可行性。

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