Webometrics User Ranking Analysis Model Development and Validation
| dc.contributor.author | Mukanda, Adeline | |
| dc.contributor.author | Mbuguah, Samwel Mungai | |
| dc.contributor.author | Wabwoba, Franklin | |
| dc.date.accessioned | 2026-03-26T15:00:26Z | |
| dc.date.available | 2026-03-26T15:00:26Z | |
| dc.date.issued | 2022-04-26 | |
| dc.description | Journal Article | |
| dc.description.abstract | The webometrics user ranking analysis model was developed and validated. The need for the model arose as directorates of ICT in Kenyan Universities were assigned the challenge of improving their university's webo ranking. Webo ranking is the preferred method of the universities to showcase their niche and what they do to the global community. There are no published models for webometrics ranking. This leads to each university taking different approaches. In this paper, a model has been developed and validated. | |
| dc.description.sponsorship | KIBU | |
| dc.identifier.citation | Mukanda, A., Mbuguah, S. M., & Wabwoba, F. (2022). Webometrics User Ranking Analysis Model Development and Validation. International Journal of Computer & Organization Trends, 12(1), 37–48. https://doi.org/10.14445/22492593/IJCOT-V12I1P307 | |
| dc.identifier.issn | 2249 – 2593 | |
| dc.identifier.uri | http://erepository.kibu.ac.ke/handle/123456789/11492 | |
| dc.language.iso | en | |
| dc.publisher | International Journal of Computer and Organization Trends | |
| dc.relation.ispartofseries | 12; 1 | |
| dc.subject | Webometrics | |
| dc.subject | Ranking | |
| dc.subject | Model | |
| dc.subject | Attributes | |
| dc.subject | Validation. | |
| dc.title | Webometrics User Ranking Analysis Model Development and Validation | |
| dc.type | Article |
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