Quantifying Web‐site visits using Web statistics: an extended cybermetrics study
- 1 June 2004
- journal article
- Published by Emerald Publishing in Online Information Review
- Vol. 28 (3) , 191-199
- https://doi.org/10.1108/14684520410543634
Abstract
The purpose of the present research is to evaluate the accessibility and lineament of a Web site through statistical analysis of the site log files using any available software, and to identify some effective measure of usage and do prediction of future usage using linear trend line approach. This Web tracking program also examined the geographic distribution of users and usage patterns of the Web pages, the peak usage times, etc. In analysing Web site traffic and to report on activity and volume of visitors, three most common measurements, hits, page views and user sessions, are used. After a thorough and periodic study of the reports of TERI's Web page activity, it is found that TERI achieved a unique milestone of one million hits during the month of April 2002.Keywords
This publication has 15 references indexed in Scilit:
- Improving the performance of Web access by bridging global ranking with local page popularity metricsInternet Research, 2002
- Evaluating metrics for comparing the use of web sites: a case study of two consumer health web sitesJournal of Information Science, 2002
- Semiotics and evaluative bibliometricsJournal of Documentation, 2000
- A user‐oriented interface for generalised informetric analysis based on applying advanced data modelling techniquesJournal of Documentation, 2000
- Adding value to Web‐OPACsThe Electronic Library, 2000
- Quantitive evaluation of Web site content and structureInternet Research, 2000
- Library Web page usage: a statistical analysisThe Bottom Line, 1999
- Cracking the code: web log analysisOnline and CD-Rom Review, 1999
- Informetric analyses on the world wide web: methodological approaches to ‘webometrics’Journal of Documentation, 1997
- Design and implementation of a tool for the automatic construction of hypertexts for information retrievalInformation Processing & Management, 1996