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An analysis of significance of Revised Web Impact Factor for ranking the websites of state universities in Sri Lanka

机译:修订后的网络影响因子对斯里兰卡国立大学网站排名的意义分析

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The level of connectivity and accessibility of a university website and the amount of information it shares have become a competitive factor among the world universities. Nowadays, the World Wide Web considerably contributes in the presence of information of university websites. Due to the immense distribution of information over the World Wide Web, it has been a challenging task to measure the quality and the quantity of the information each university website shares. Therefore, measuring the web impact has become the most popular mechanism among the researchers. This study is to compare the significance of web impact of the state university websites in Sri Lanka based on the link analysis statistics obtained from well-known search engines, Google and Yahoo!. In this analysis the Revised Web Impact Factor, the ratio between the number of inlinks (external back links) and the number of web pages published in the website which are indexed by the search engines (not all pages of the website),was taken into account. The correlation coefficient between the rank of resultant Revised Web Impact Factors and Impact Factors taken from the Webometrics website derived by Cybermetrics Lab was calculated with the ninety percent of inference level. If an academic website increases its link density via Yahoo! Search engine, it is relatively significance for its Webometrics impact factor whereas Google indexing expresses less relevance for the Webometrics impact factor.
机译:大学网站的连通性和可访问性水平以及它共享的信息量已成为世界大学之间的竞争因素。如今,万维网为大学网站信息的存在做出了巨大贡献。由于在Internet上信息分布广泛,因此衡量每个大学网站共享的信息的质量和数量一直是一项艰巨的任务。因此,测量网络影响已成为研究人员中最受欢迎的机制。这项研究旨在根据从著名搜索引擎Google和Yahoo!获得的链接分析统计数据,比较斯里兰卡国立大学网站对网络的影响的重要性。在此分析中,将“修订的网络影响因子”,由搜索引擎索引的内部链接数(外部反向链接)与网站中发布的网页数(不是网站的所有页面)之间的比率进行比较帐户。计算得出的修订Web影响因子等级与从Cyber​​metrics Lab导出的Webometrics网站获取的影响因子之间的相关系数是根据推断水平的90%计算得出的。如果学术网站通过Yahoo!提高链接密度。在搜索引擎中,它对Webometrics影响因子具有相对重要的意义,而Google索引表示与Webometrics影响因子的相关性较小。

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