Webometrics Analysis of the Website and Feasible Approaches to Improve the Ranking of Universities
- DOI
- 10.2991/978-94-6463-803-5_64How to use a DOI?
- Keywords
- Webmetrics; University Ranking; Website; Influence Evaluation
- Abstract
The authoritative world universities ranking institutions take the comprehensive strength of universities as the evaluation criterion and adopt data collection and comprehensive assessment on a global scale. The official website of a university is an important carrier of information about the university, such as its overview, talent cultivation, teaching quality, and research achievements. It is also an important assessment target for authoritative ranking institutions and a display window for the university's international education data. The current thesis is an empirical study on the online influence of university rankings based on the SEO query method of web econometrics search engines. The SEO data of well-known domestic university websites ranked high in authoritative rankings are obtained. The results show that indicators such as the number of indexed pages and the number of external links are positively correlated with university rankings, which can provide valuable guidance for other universities to improve their rankings. Also, the current thesis takes top-ranked universities in China as reference samples and conducts a comparative study between the data of the sample websites and the reference sample website on online influence indicators, such as the number of indexed pages and external links, so as to explore strategies for universities to achieve better positions on university ranking lists by elevating online influence and optimizing official website.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Lingyan Zhang AU - Yingyi Tang AU - Zhibo Zhou PY - 2025 DA - 2025/07/31 TI - Webometrics Analysis of the Website and Feasible Approaches to Improve the Ranking of Universities BT - Proceedings of the 5th International Conference on Internet, Education and Information Technology (IEIT 2025) PB - Atlantis Press SP - 672 EP - 680 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-803-5_64 DO - 10.2991/978-94-6463-803-5_64 ID - Zhang2025 ER -