Authors:
Antonio J. Reinoso
1
;
Felipe Ortega
1
;
Jesus M. Gonzalez-Barahona
1
and
Israel Herraiz
2
Affiliations:
1
Universidad Rey Juan Carlos, Spain
;
2
Universidad Alfonso X el Sabio, Spain
Keyword(s):
Wikipedia, Usage patterns, Traffic characterization, Quantitative analysis.
Related
Ontology
Subjects/Areas/Topics:
Applications and Case-studies
;
Artificial Intelligence
;
Knowledge Engineering and Ontology Development
;
Knowledge Reengineering
;
Knowledge-Based Systems
;
Process Knowledge and Semantic Services
;
Symbolic Systems
Abstract:
This paper presents an empirical study on the impact of featured articles on the attention that Wikipedia’s articles attract, and how this behavior differs in different editions of Wikipedia. The study is based on the analysis of the log lines registered by the Wikimedia Foundation Squid servers after having sent the appropriate content in response to the corresponding request submitted by any Wikipedia user. The analysis has been conducted regarding the six most visited editions of the Wikipedia and has involved more than 4,100 million log lines corresponding to the traffic of September, October and November 2009. The methodology of work has mainly consisted on the parsing of the requests sent by the users and on their subsequent filtering according to the study directives. Relevant information fields has been finally stored in a database for persistence and further characterization. The main results of this paper are twofold: it shows how to use the the traffic log to extract infor
mation about the use ofWikipedia, which is a novel research approach without precedences in the research community, and it analyzes whether the featured articles mechanism achieve to attract more attention or not.
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