Abstract

The Web is an important source of information in the academic sector, although many professors and researchers still do not maximize its potential. Missing or poor content is especially common on many personal or group sites. We propose a model with large and diverse content, strongly interlinked to represent the author’s network of contacts and experiences, and with a statistics system to monitor the number of visits and visitors. These pages can be complemented with Web 2.0 tools, but always subordinated to the personal page contents.

Abstract

The analysis of web usage information is an important cybermetric tool for describing the visits and visitors to a website, and their navigation behaviour, which can help in designing the structure and contents of the webpages. The paper describes the main concepts (log file, session, user) and introduces both manual and automated techniques to study the log files. Finally, the counters and trackers are described, paying special attention to the statistics offered by two systems: Google Analytics and StatCounter.