Aggregate ranking of the world's leading universities
Journal Title: Webology - Year 2015, Vol 12, Issue 1
Abstract
The paper presents a methodology for calculating the aggregate global university ranking (Aggregated Global University Ranking, or AGUR), which consists of an automated presentation of the comparable lists of names for different universities from particular global university rankings (using Machine Learning and Mining Data algorithms) and a simple procedure of aggregating particular global university rankings (summing up the university ranking positions from different particular rankings and their subsequent ranking). The second procedure makes it possible to bring lists of universities from particular rankings, which are nonidentical by length, to one size. The paper includes a sample AGUR for six particular global university rankings as of 2013, as well as crosscorrelation matrices and intersection matrices for AGUR for 2011-2013, all created by means of using the Python-based software.
Authors and Affiliations
Vladimir M. Moskovkin, Nikolay A. Golikov, Andrey P. Peresypkin and Olesya V. Serkina
Keywords
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