A complementary webometric ranking system based on the website quality and traffic measures: A study focusing on top-ranked world universities

Environmental education and information Pub Date : 2021-01-01 DOI:10.3233/EFI-200422

Sajjad Farashi, S. Bashirian

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引用次数: 2

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.

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基于网站质量和流量措施的互补性网络计量排名系统:一项针对世界排名最高的大学的研究

大学基于网络活动的排名对促进科学进步起着关键作用，因为它激励了对科学成果的开放获取。本文提出了一种基于网站质量因素和流量评价的网站排名系统。由于排名靠前的大学通常被认为是排名靠后的大学的标准模型，因此本研究的重点是排名靠前的大学。并与Webometrics排名系统进行了比较。对世界排名靠前的大学网站进行了网站流量和质量评价，并对这些指标与Webometrics排名的相关性进行了评价。根据遗传算法框架得到的最优权向量，将得到的测度权值相加，进行排序。结果表明，网站总流量大小与Webometrics排名呈显著相关(R≈-0.6,p< 0.01)。此外，利用网站质量和流量指标的加权值，所提出的排名系统可以预测Webometrics排名，准确率高达69%。尽管该方法是针对大学提出的，但它也可以应用于其他类型的中心或公司的排名，前提是定义了适合遗传算法框架的成本函数。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Environmental education and information

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