The paper discusses the webometric model for effective acquirement of relevant information from the web that would better separate the useful data from the useless. Our research emphasis has been placed on techniques that would better reflect the semantic content of single pages. Webometrics is purely a quantitative approach to the web, which can be enhanced by qualitative methods and thereby a...

Much has been written about the potential and pitfalls of macroscopic web-based link analysis, yet there have been no studies that have provided clear statistical evidence that any of the proposed calculations can produce results over large areas of the web that correlate with phenomena external to the Internet. This article attempts to provide such evidence through an evaluation of Ingwersen’s...

Web Impact Factors, the proposed web equivalent of Impact Factors for journals, can be calculated by using search engines. It has been found that the results are problematic because of the variable coverage of search engines as well as their ability to give significantly different results over short periods of time. The fundamental problem is that although some search engines provide a function...

This paper presents a first attempt for performing a precise and automatic identification of the linking behaviour in a scientific domain through the analysis of the communication of the related academic institutions on the web. The proposed approach is based on the paradigm of multiple viewpoint data analysis (MVDA) than can be fruitfully exploited to highlight relationships between data, like...

This study analyzes student consumptive behavior associated with lifestyle and financial literacy during the covid-19 pandemic. The was conducted at 15 of best universities in province South Sumatra, version Webometrics 2021. used a survey method by distributing questionnaires to students online. Based on results hypothesis testing, structural equation model testing each indicator variables has...