A Webometric Analysis of Some Universities in Lebanon


One way to rank universities nowadays is through running Webometrics on a university's website. Webometrics measure the overall web presence of websites using various indicators. One way of improving the ranking of a university is to keep measuring its web presence and taking corrective actions based on an analysis of the results. In this paper, an analytical study of twenty four university websites in Lebanon is conducted. Ranking the universities web sites based on two webometric ranking methods (Web Impact Factor (WIF) and Web Indicators of Science, Innovation and Research (WISER)) is presented. WIF and WISER are based on different webometric indicators such as visibility (external links), size (webpages), rich files and scholar (academic papers). The study was conducted over three years 2011, 2012 and 2013 using several search engines. Based on the collected data and its analysis, an automated ranking and recommendation system was designed and implemented. The main goal of this system was to reduce the time needed for each university webmaster to rank the website. Another goal was to generate automated recommendations to help a university improve its rank and fix problems that it faces in its website. In the paper, it is shown that that the correlation between WIF and WISER is negative and it is recommended not to use WIF because of its limitations; whereas WISER is more flexible and promotes research and publications.


El Kabani T.I.


El Houri W.M., Hamandi L.

Journal/Conference Information

21st Century Academic Forum,