A Markov Chain Approach for the Evaluation of Global Performance of Universities of South Africa

The Markov chain (MC) technique is used preliminarily in the evaluation of the ranking of selected institutions of higher learning of South Africa. The data related to Scimago is used to illustrate the practical implication of MC. A random selection of universities was conducted for applying the MC...

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Main Authors: Masikini Lugoma, Masengo Ilunga
Format: Article
Language:English
Published: International Institute of Informatics and Cybernetics 2024-04-01
Series:Journal of Systemics, Cybernetics and Informatics
Subjects:
Online Access:http://www.iiisci.org/Journal/PDV/sci/pdfs/EB949XD24.pdf
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author Masikini Lugoma
Masengo Ilunga
author_facet Masikini Lugoma
Masengo Ilunga
author_sort Masikini Lugoma
collection DOAJ
description The Markov chain (MC) technique is used preliminarily in the evaluation of the ranking of selected institutions of higher learning of South Africa. The data related to Scimago is used to illustrate the practical implication of MC. A random selection of universities was conducted for applying the MC technique., i.e., a middle and a bottom performing universities are selected. Different states were defined to carry out the estimation of the steady state of the Markov Chain to predict theoretically the future state of their rankings. These preliminary results showed that the former had 2 states with probability distributions of (0, 1) respectively, whereas the latter had 5 states with probability distribution of (0.892, 0.035, 0.035, 0.035, 0.01). This approach could be replicated to the rest of institutions of higher learning and considering other ranking metrics.
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spelling doaj-art-99c24e050f124561afe2f2f43aa7eb602025-08-20T02:25:11ZengInternational Institute of Informatics and CyberneticsJournal of Systemics, Cybernetics and Informatics1690-45242024-04-012223236A Markov Chain Approach for the Evaluation of Global Performance of Universities of South AfricaMasikini LugomaMasengo IlungaThe Markov chain (MC) technique is used preliminarily in the evaluation of the ranking of selected institutions of higher learning of South Africa. The data related to Scimago is used to illustrate the practical implication of MC. A random selection of universities was conducted for applying the MC technique., i.e., a middle and a bottom performing universities are selected. Different states were defined to carry out the estimation of the steady state of the Markov Chain to predict theoretically the future state of their rankings. These preliminary results showed that the former had 2 states with probability distributions of (0, 1) respectively, whereas the latter had 5 states with probability distribution of (0.892, 0.035, 0.035, 0.035, 0.01). This approach could be replicated to the rest of institutions of higher learning and considering other ranking metrics.http://www.iiisci.org/Journal/PDV/sci/pdfs/EB949XD24.pdf probabilistic forecastingscimago rankingsuniversities rankingmarkov chain
spellingShingle Masikini Lugoma
Masengo Ilunga
A Markov Chain Approach for the Evaluation of Global Performance of Universities of South Africa
Journal of Systemics, Cybernetics and Informatics
probabilistic forecasting
scimago rankings
universities ranking
markov chain
title A Markov Chain Approach for the Evaluation of Global Performance of Universities of South Africa
title_full A Markov Chain Approach for the Evaluation of Global Performance of Universities of South Africa
title_fullStr A Markov Chain Approach for the Evaluation of Global Performance of Universities of South Africa
title_full_unstemmed A Markov Chain Approach for the Evaluation of Global Performance of Universities of South Africa
title_short A Markov Chain Approach for the Evaluation of Global Performance of Universities of South Africa
title_sort markov chain approach for the evaluation of global performance of universities of south africa
topic probabilistic forecasting
scimago rankings
universities ranking
markov chain
url http://www.iiisci.org/Journal/PDV/sci/pdfs/EB949XD24.pdf
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