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Leveraging Citation Networks to Visualize Scholarly Influence Over Time

机译:利用引文网络可视化一段时间内的学术影响力

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Assessing the influence of a scholar's work is an important task for funding organizations, academic departments, and researchers. Common methods, such as measures of citation counts, can ignore much of the nuance and multidimensionality of scholarly influence. We present an approach for generating dynamic visualizations of scholars' careers. This approach uses an animated node-link diagram showing the citation network accumulated around the researcher over the course of the career in concert with key indicators, highlighting influence both within and across fields. We developed our design in collaboration with one funding organization---the Pew Biomedical Scholars program---but the methods are generalizable to visualizations of scholarly influence. We applied the design method to the Microsoft Academic Graph, which includes more than 120 million publications. We validate our abstractions throughout the process through collaboration with the Pew Biomedical Scholars program officers and summative evaluations with their scholars.
机译:评估学者工作的影响力是资助组织,学术部门和研究人员的一项重要任务。常用方法(例如引文计数)可以忽略学术影响力的许多细微差别和多维性。我们提出了一种生成学者职业动态可视化的方法。这种方法使用一个动画节点链接图,该图表显示了研究人员在整个职业生涯中与关键指标相结合而积累的引文网络,突出了在领域内和跨领域的影响力。我们与一个皮尤生物医学学者计划(Pew Biomedical Scholars Program)的资助机构合作开发了设计,但是这些方法可以推广到可视化的学术影响力。我们将设计方法应用于Microsoft Academic Graph,其中包括超过1.2亿种出版物。通过与Pew Biomedical Scholars计划官员的合作以及与他们的学者的总结性评估,我们在整个过程中验证了我们的抽象。

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