Characterization of the Evolution of a News Web Site

Daniele Tessera, Maria Calzarossa, Maria Carla Calzarossa

Risultato della ricerca: Contributo in rivistaArticolo in rivistapeer review

9 Citazioni (Scopus)

Abstract

The Web has become a ubiquitous tool for distributing knowledge and information and for conducting businesses. To exploit the huge potential of the Web as a global information repository, it is necessary to understand its dynamics. These issues are particularly important for news Web sites as they are expected to provide fresh information on current world events to a potentially large user population. This paper presents an experimental study aimed at characterizing and modeling the evolution of a news Web site. We focused on the MSNBC Web site as it is a good representative of its category in terms of structure, news coverage and popularity. Specifically, we analyzed how often and to what extent the content of this site changed and we identified models describing its dynamics. The study has shown that the rate of page creations and updates was characterized by some well defined patterns that varied as a function of time of day and day of week. On the contrary, the content of individual pages changed to a different extent. Most updates involved a very small fraction of their content, whereas very few were more extensive and spread over the whole page. By taking into accounts all these aspects, we derived analytical models able to accurately capture and reproduce the evolution of the news Web site.
Lingua originaleEnglish
pagine (da-a)2336-2344
Numero di pagine9
RivistaTHE JOURNAL OF SYSTEMS AND SOFTWARE
DOI
Stato di pubblicazionePubblicato - 2008

Keywords

  • DYNAMIC WEB CONTENTS
  • PERFORMANCE ANALYSIS
  • WORKLOAD CHARACTERIZATION

Fingerprint Entra nei temi di ricerca di 'Characterization of the Evolution of a News Web Site'. Insieme formano una fingerprint unica.

Cita questo