Leveraging Citation Networks to Visualize Scholarly Influence Over Time
Leveraging Citation Networks to Visualize Scholarly Influence Over Time
复制标题
DOI：
10.3389/frma.2017.00008
复制
发表时间：
2016-11
期刊：
影响因子：
--
通讯作者：
Jason Portenoy;J. Hullman;Jevin D. West
中科院分区：
文献类型：
--
作者：
Jason Portenoy;J. Hullman;Jevin D. West
评估学者工作的影响力是资助机构、学术部门和研究人员的一项重要任务。常见的方法，如引文量的测量，可能会忽略学术影响的许多细微差别和多维度。我们提出了一种生成学者职业动态可视化的方法。这种方法使用动画节点链接图，显示研究人员在职业生涯中积累的引文网络，与关键指标相一致，突出领域内和跨领域的影响力。我们与一个资助组织-皮尤生物医学学者项目--合作开发了我们的设计，但这些方法可以概括为学术影响力的可视化。我们将该设计方法应用于包括1.2亿多种出版物的微软学术图表。我们通过与皮尤生物医学学者项目官员的合作以及与他们的学者的终结性评估，在整个过程中验证我们的抽象。
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.