Fitness and Research Complexity Among Research-Active Universities in the World

被引：2
|
作者：
Lee, Ivan [1 ,2 ]
Tie, Yun [2 ]
机构：
[1] Univ South Australia, Sch IT & Math Sci, Adelaide, SA 5001, Australia
[2] Zhengzhou Univ, Sch Informat Engn, Zhengzhou 450066, Henan, Peoples R China
来源：
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING | 2021年 / 9卷 / 01期
关键词：
Complexity theory; Correlation; Indexes; Analytical models; Collaboration; Education; Australia; Complexity model; comparative advantage; research fields;
D O I：
10.1109/TETC.2018.2854266
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In addition to knowledge transfer through higher education, universities play an important role in exploring new concepts and innovation by research. While most research-active universities cover a wide range of academic disciplines, strategic research prioritisation becomes an important task of senior management and research leaders. This paper investigates research-active institutes in the world according to the Academic Ranking of World Universities. Revealed symmetric comparative advantage analysis is applied on the research publications extracted from the Microsoft Academic Graph data set, and the correlations between research institutes and research fields are analysed. This paper also investigates the fitness of research institutes and analyses the nicheness of research disciplines. The relationship between opportunity value, research complexity index and the fitness level are explored.
引用
收藏
页码：293 / 301
页数：9
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