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Citation Network Visualization of Reference Papers Based on Influence Groups

机译:基于影响群体的参考论文的引文网络可视化

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Figure1:Citation Network Visualization of Reference Papers based on Influence Groups. In the circular main view (a), the research paper published according to the year can be identified by the node (b), and the size of the node represents the influence of the paper. The red node (c) is the bridge research paper that links the paper to the paper. If you click the node, you can check the detail information of the research paper, the number of citations and the ego network in the subview (d). (http://13.124.91.164)Survey of relevant research papers are very important in academic research to fully understanding the research trends in a given field of interest. Many researchers use keyword searches to investigate their related research. However, it is often difficult to find the desired research papers only through a keyword search. Here we propose a citation network visualization technique that constructs the genealogy of a research paper. It allows the user to trace the genealogy of the reference papers that form the basis of their research via large citation data sets, while also providing a visualization of how the research paper influences its research field.
机译:图1:基于影响群体的参考论文的引文网络可视化。在循环主观(a)中,根据年度发布的研究文件可以通过节点(b)来识别,节点的大小表示纸张的影响。红色节点(c)是将纸张与纸张联系起来的桥梁研究论文。如果单击节点,您可以检查研究论文的详细信息,在SubView(D)中的CILICATION和EGO网络的数量。 (http://13.124.91.164)相关研究论文的调查在学术研究中非常重要,以充分了解给定的兴趣领域的研究趋势。许多研究人员使用关键字搜索来调查他们的相关研究。但是,通常难以通过关键字搜索找到所需的研究表。在这里,我们提出了一种引用网络可视化技术,可以构建研究论文的系谱。它允许用户通过大引文数据集追踪参考论文的谱系,这些文件通过大引文数据集构成他们的研究的基础,同时还提供了研究论文如何影响其研究领域的可视化。

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