Relative Evaluation of the Quantitative Aspects of the Websites of the Top Ten Oldest National Institute of Technology (NITs) in India through the Application of Webometric Parameters
Keywords:Broken Links, External Links, In-Links, Self Links, Websites, Web Impact Factor
A website serves as a gateway to any information about any institution in the present-day digital era. Webometrics is a technique of estimating the effectiveness and efficacy of a website by quantitative analysis of its links and webpages. In this study, the websites of the top ten oldest NITs (as per their year of Foundation as Regional Engineering College) were considered for webometric analysis. It was found that all the ten studied NIT websites have .ac.in as their URL extension. While NIT Kurukshetra has the most linked web pages, NIT Nagpur has the highest number of web pages on its website. After analysis it was revealed that NIT Kurukshetra has the highest Simple Web Impact Factor, Self-Link Web Impact Factor, External Link Web Impact Factor and Revised Web Impact Factor and clinched the top rank out of all the ten studied NIT websites. Though presence of broken links is found to be the maximum number on the NIT Kurukshetra website. From the estimation of the correlation between the Simple Web Impact Factor and the Revised Web Impact Factor, it was found that both variables have a coefficient of correlation of +0.28 in magnitude. This indicates that both the variables have a positive correlation between them. Hence out of all the ten NIT websites the website of NIT Kurukshetra is found to be most effective and efficient.
Babu, B. R., Kumar, A. M. N., and Gopalakrishnan, S. (2009). Credibility of university websites in Tamil Nadu. DESIDOC Journal of Library and Information Technology, 29(3), 16-28. https://doi.org/10.14429/djlit.29.248
Beerappa. (2017). Webometric study on library websites of National Institute of Technologies (NITS) in India: A link analysis approach. International Journal of Information Movement, 1(10), 7-15.
Bulla, S. D., and Hadagali, G. S. (2021). Analysis of Central Universities’ websites in India: A study. Journal of Indian Library Association, 56(3), 40-51.
Björneborn, L., and Ingwersen, P. (2004). Toward a basic framework for webometrics. Journal of the American Society for Information Science and Technology, 55(14), 1216-1227. https://doi.org/10.1002/asi.20077
Chakravarty, R., and Wasan, S. (2015). Webometric analysis of library websites of Higher Educational Institutes (HEIs) of India: A study through google search engine. DESIDOC Journal of Library and Information Technology, 35. https:// doi.org/10.14429/djlit.35.5.8788
Council of NITs. (n.d.). COVID-19 Research at NITs & IIEST, Shibpur. Available at: http://nitcouncil.org.in/index.php/ site/console/siteAboutNit
Hadagali, G. S., Bulla, S. D., and Shettar, I. M. (2022). Indian Institutes of Technology’s websites in India: A webometric analysis. Journal of Indian Library Association, 57(4), 143- 154.
Ismail, N. A., Ramzi, N. I., Mohamed, S. E. N., and Razak, M. S. H. (2021). Webometric analysis of institutional repositories of Malaysian Public Universities. DESIDOC Journal of Library and Information Technology, 41(2), 130-139. https://doi.org/10.14429/djlit.41.02.15649
Madhusudhan, D. M. (2013). Websites of Indian Institutes of Technology: A webometric study. International Journal of Library and Information Studies, 3(4).
Ratha, B., Joshi, L., and Naidu, G. H. S. (2012). Webometric study of IIT libraries websites. DESIDOC Journal of Library and Information Technology, 32(3), Article 3. https://doi. org/10.14429/djlit.32.3.2382.
Roy, H., Sarkar, S., and Mazumder, S. (2018). A webometrics analysis of social science research institute websites in India (P. Mukhopadhyay, J. K. Sarkhel, S. Dasgupta, S. Jana, Eds.) Kulissa, pp. 120-130.
Thelwall, M. (2009). Introduction to webometrics: Quantitative web research for the social sciences. Synthesis Lectures on Information Concepts, Retrieval, and Services, 1(1), 1-116. https://doi.org/10.2200/S00176ED1V01Y200903ICR004
Verma, M. K., and Brahma, K. (2017). A webometric analysis of National Libraries’ websites in South Asia. ALIS. 64(2).
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