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Temporal characterization of the requests to Wikipedia
Reinoso, Antonio J. and González-Barahona, Jesus M. and Muñoz-Mansilla, Rocio and Herraiz Tabernero, Israel
Temporal characterization of the requests to Wikipedia.
"Proceedings of the 5th International Workshop on New Challenges in Distributed Information Filtering and Retrieval (DART 2011)", v. 771
||Temporal characterization of the requests to Wikipedia
Reinoso, Antonio J.
González-Barahona, Jesus M.
Herraiz Tabernero, Israel
|Title of Book:
||Proceedings of the 5th International Workshop on New Challenges in Distributed Information Filtering and Retrieval
|Título de Revista/Publicación:
||Proceedings of the 5th International Workshop on New Challenges in Distributed Information Filtering and Retrieval (DART 2011)
||E.T.S.I. Caminos, Canales y Puertos (UPM)
||Matemática e Informática Aplicadas a la Ingeniería Civil [hasta 2014]
|Creative Commons Licenses:
This paper presents an empirical study about the temporal patterns
characterizing the requests submitted by users to 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 users' requests. The
analysis has been conducted regarding the ten most visited editions of
Wikipedia and has involved more than 14,000 million log lines
corresponding to the traffic of the entire year 2009. The conducted methodology
has mainly consisted in the parsing and filtering
of users' requests according to the study directives. As a result, relevant information
fields have been finally stored in a database for persistence and further
characterization. In this way, we, first, assessed, whether the traffic to Wikipedia could serve
as a reliable estimator of the overall traffic to all the Wikimedia Foundation
projects. Our subsequent analysis of the temporal evolutions corresponding to
the different types of requests to Wikipedia revealed interesting differences
and similarities among them that can be related to the users' attention to the Encyclopedia.
In addition, we have performed separated characterizations of each Wikipedia edition
to compare their respective evolutions over time.
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