Comprehensive world university ranking based on ranking aggregation

Yang Zhang, Yu Xiao, Jun Wu () and Xin Lu
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Yang Zhang: College of Systems Engineering, National University of Defense Technology
Yu Xiao: College of Systems Engineering, National University of Defense Technology
Jun Wu: Beijing Normal University at Zhuhai
Xin Lu: College of Systems Engineering, National University of Defense Technology

Computational Statistics, 2021, vol. 36, issue 2, No 15, 1139-1152

Abstract: Abstract Many university rankings have been proposed in recent decades. The remarkable divergence among various rankings leads to confusion for decision-makers. In this paper, we propose to generate a comprehensive world university ranking by aggregating existing individual university rankings. We present a new graph-based rank aggregation method by defining a competition graph of universities, in which each node represents a university and each directed edge represents an outranking relation between two universities. We propose to measure the quality of a university by the out-in degree ratio based on which we rank all universities. Moreover, We evaluate the effectiveness of our comprehensive world university ranking from the perspectives of normality and impartiality, respectively. It is shown that the aggregated ranking will be applied as a blend integrating all the information from individual university rankings and can efficiently eliminate the outliers and regional partiality as a “smoother”.

Keywords: Partial ranking aggregation; Consensus ranking; Competition graph; Normality; Impartiality (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s00180-020-01033-8

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