利用科技论文合著者网络的网络中心性指标搜索有潜力的研究人员

Masanori Fujita, Hiroto Inoue, T. Terano
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引用次数: 9

摘要

本文提出了一种利用合著者关系的网络中心性来搜索有前途的青年研究人员的方法。这种方法估计研究人员的潜力基于过渡的中间性中心性在合著者网络。我们认为优秀的研究人员总是表现出较高的中间性中心性,相反,有前途的研究人员的中间性中心性会随着时间的推移而增长。通过网络分析,我们从日本科学技术振兴机构(JST)的学术论文数据库中发现了一些中间中心性越来越强的研究人员。此外,被日本科学促进协会评价为有前途的年轻研究人员的日本科学促进协会研究员表现出日益增长的中间性。因此,我们提出的方法有助于在生物科学等合作研究领域寻找有前途的年轻研究人员。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Searching Promising Researchers through Network Centrality Measures of Co-author Networks of Technical Papers
This paper proposes a method of searching for promising young researchers using network centrality of co-author relationship. This method estimates researchers' potential based on transition of betweenness centralities in co-author networks. We thought that excellent researchers always show high betweenness centralities, in contrast, betweenness centralities of promising researchers will grow with time. As a result of network analysis, we detected some researchers with growing betweenness centralities from the academic paper database of Japan Science and Technology Agency (JST). In addition, Japan Society for the Promotion of Science (JSPS) Research Fellows who had been evaluated as a promising young researcher by JSPS showed growing betweenness centralities. Therefore, our proposed method is useful to search for promising young researchers in collaborative research fields such as biological science.
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