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Article type: Research Article
Authors: Farashi, Sajjada; c; * | Bashirian, Saeedb
Affiliations: [a] Research and Technology, Hamadan University of Medical Sciences, Hamadan, Iran | [b] Department of Public Health, School of Public Health and Social Determinants of Health Research Center, Hamadan University of Medical Sciences, Hamadan, Iran | [c] Dental Implants Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
Correspondence: [*] Corresponding author: Sajjad Farashi, Research and Technology, Hamadan University of Medical Sciences, Hamadan, Iran. E-mail: [email protected].
Abstract: Ranking of universities regarding their web-based activities plays a pivotal role in promoting scientific advancement since it motivates the open access accessibility to scientific results. In this study, a new ranking system based on the website quality factors and traffic evaluation was proposed. Since top-ranked universities are usually considered as the standard models for lower ranked ones, the focus of this study was on top-ranked universities. The proposed ranking was compared with well-known Webometrics ranking system. The website traffic and quality assessment were acquired for websites of top-ranked world universities and the correlation between these indices and the Webometrics ranking was evaluated. The summation of the weighted value of obtained measures according to an optimal weight vector obtained by a genetic algorithm framework was used for ranking purposes. The results showed that the website total traffic size was correlated with Webometrics rank (R≈-0.6, p< 0.01). Also, using the weighted value of website quality and traffic measures, the proposed ranking system could predict Webometrics ranking by the accuracy of up to 69%. Even though the method was proposed for universities, it could be applied for ranking other types of centers or companies, provided that the suitable cost function for the genetics algorithm framework was defined.
Keywords: Webometrics ranking, website traffic, website quality measures, correlation analysis, genetics algorithm
DOI: 10.3233/EFI-200422
Journal: Education for Information, vol. 37, no. 3, pp. 337-354, 2021
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