Metrics-based Markov chains for Web Analytics

Name: Metrics-based Markov chains for Web Analytics
Brand: Vita e Pensiero
Availability: OnlineOnly

digital

Article

Magazine

STATISTICA & APPLICAZIONI

Section

Open Access

Title

Metrics-based Markov chains for Web Analytics

Author

Sergio Scippacercola

Publisher

Vita e Pensiero

Format

Article |

Pdf

Pages

Online from

01-2012

Issn

1824-6672 (print) | 2283-6659 (digital)

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SUMMARY
Today the Web Pages with static contents (e.g. on line newspapers, public portals, didactic pages, etc.) are very widespread by Information Technology. These pages are carriers of knowledge so it is important to study their use. The common web analytics tools lack useful metrics for an evaluation of the dissemination of knowledge via the web. In this paper we propose a Method (called Knowledge Page Markovian Algorithm) that uses the Markov Chains on the data obtained from web analytics tools to evaluate the use of the knowledge pages. By this original approach, it is possible to create new Metrics to assess each web page for the eventual reengineering of the site. Finally, an application of the Method is shown on a website for three University Courses.
Keywords: Web Analytics, Metrics, Knowledge Page, Markov Chains.

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