Title
Multi-dimensional Ranking via Majorization
Abstract
University ranking are ubiquitous as there are dozens of them. University ranking are not only used as tools in academia and funding agencies, but they are popular reading in newspapers and magazines as well. Also in academics is of major importance for decision-making. University ranking have been heavily criticized for a number of reasons, including that they are based on arbitrary choices about the key indicators, their special weights and so on. For these reasons, we argue that there is no meaning in ranking universities in an absolute ordered manner; instead universities should be ranked in "sets of equivalence". To this end, we introduce the mathematical concept of majorization and perform experiments on a dataset extracted from NTU Ranking. This approach is applicable to other entities, such as authors or other higher order multi-dimensional entities.
Year
DOI
Venue
2021
10.1007/978-3-030-85082-1_24
NEW TRENDS IN DATABASE AND INFORMATION SYSTEMS, ADBIS 2021
Keywords
DocType
Volume
Dominance, Skyline, Rainbow ranking, Majorization, University ranking
Conference
1450
ISSN
Citations 
PageRank 
1865-0929
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Georgios Stoupas100.34
Antonis Sidiropoulos238027.27