NexComm 2014
February 23 - 27, 2014
Nice, France

DigitalWorld 2014
March 23 - 27, 2014
Barcelona, Spain

InfoSys 2014
April 20 - 24, 2014
Chamonix, France

BioSciencesWorld 2014
April 20 - 24, 2014
Chamonix, France

ComputationWorld 2014
May 25 - 29, 2014
Venice, Italy

InfoWare 2014
June 22 - 26, 2014
Seville, Spain

DataSys 2014
July 20 - 24, 2014
Paris, France

NexTech 2014
August 24 - 28, 2014
Rome, Italy

SoftNet 2014
October 12 - 16, 2014
Nice, France

NetWare 2014
November 16 - 20, 2014
Lisbon, Portugal

 

ThinkMind // ICIW 2012, The Seventh International Conference on Internet and Web Applications and Services // View article iciw_2012_5_50_20194


Characterization of the Wikipedia Traffic

Authors:
Antonio J. Reinoso
Rocío Muñoz-Mansilla
Israel Herraiz
Felipe Ortega

Keywords: Wikipedia; Traffic characterization

Abstract:
Since its inception, Wikipedia has grown to a solid and stable project and turned into a mass collaboration tool that allows the sharing and distribution of knowledge. The wiki approach that basis this initiative promotes the participation and collaboration of users. In addition to visits for browsing its contents, Wikipedia also receives the contributions of users to improve them. In the past, researchers paid attention to different aspects concerning authoring and quality of contents. However, little effort has been made to study the nature of the visits that Wikipedia receives. We conduct such an study using a sample of users' requests provided by the Wikimedia Foundation in the form of Squid log lines. Our sample contains more that 14,000 million requests from users all around the world and directed to all the projects maintained by the Wikimedia Foundation, including different editions of Wikipedia. This papers describes the work made to characterize the traffic directed to Wikipedia and consisting of the requests sent by its users. Our main aim is to obtain a detailed description of its composition in terms of the percentages corresponding to the different types of requests making part of it. The benefits from our work may range from the prediction of traffic peaks to the determination of the kind of resources most often requested, which can be useful for scalability considerations.

Pages: 156 to 162

Copyright: Copyright (c) IARIA, 2012

Publication date: May 27, 2012

Published in: conference

ISSN: 2308-3972

ISBN: 978-1-61208-200-4

Location: Stuttgart, Germany

Dates: from May 27, 2012 to June 1, 2012

SERVICES CONTACT
2010 - 2014 © ThinkMind. All rights reserved.
Read Terms of Service and Privacy Policy.