Aggregate ranking of the world's leading universities
| Autor: | Vladimir M. Moskovkin, Nikolay A. Golikov, Andrey P. Peresypkin, Olesya V. Serkina |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
University Ranking by Academic Performance (URAP)
Cross-correlation matrix Aggregated Global University Ranking (AGUR) Academic Ranking of World Universities (ARWU) Webometrics Higher Education Evaluation & Accreditation Council of Taiwan (HEEACT) Scimago Institutions Rankings lcsh:Z lcsh:Bibliography. Library science. Information resources Machine learning QS World University Rankings Data mining Python Times Higher Education (THE) CWTS Leiden Ranking |
| Zdroj: | Webology, Vol 12, Iss 1, p a133 (2015) |
| Popis: | 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 cross-correlation matrices and intersection matrices for AGUR for 2011-2013, all created by means of using the Python-based software. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|