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Analyzing Promising Researchers Using Network Centralities of Co-authorship Networks from Academic Literature
New Generation Computing ( IF 2.6 ) Pub Date : 2020-09-19 , DOI: 10.1007/s00354-020-00102-2
Masanori Fujita , Hiroto Inoue , Takao Terano

We propose a new way of using the betweenness centrality measure with co-author networks from an academic literature database to evaluate young researchers. It is difficult to discover and evaluate promising young researchers with indexes based on the number of cited papers, such as the h-index to which published papers introduce a lag and whose impact only becomes apparent after they have been cited by other papers. We validated the effectiveness of the measure as an index for evaluating young researchers. Our investigation of 1.92 million publications in the biological sciences shows that Research Fellows with the Japan Society for the Promotion of Science (JSPS) have higher rankings and progress more quickly than other researchers. In addition, differences between JSPS Research Fellows and other researchers were observed at earlier stages using the proposed method than with the h-index and with centralities from literature published in the past 4 years. We expect that the proposed use of the betweenness centrality measure can be applied effectively to extract promising young researchers.



中文翻译:

从学术文献中使用共同作者网络的网络中心来分析有前途的研究人员

我们提出了一种使用中间性度量与学术文献数据库中的合著者网络来评估年轻研究人员的新方法。很难找到和评估有前途的年轻研究人员,并且需要根据被引用论文的数量(例如h-索引,已发表的论文引入了滞后,并且其影响只有在被其他论文引用后才变得明显。我们验证了该措施作为评估年轻研究人员的指标的有效性。我们对192万份生物科学出版物的调查表明,与日本科学促进会(JSPS)的研究人员相比其他研究人员,其排名更高且进展更快。此外,在使用JSPS研究人员和其他研究人员之间,在较早的阶段,使用所提出的方法观察到的差异要比h指数和过去4年文献报道的中心性强。我们希望,提出的使用中间性中心度度量的方法可以有效地用于提取有前途的年轻研究人员。

更新日期:2020-09-20
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