Antonio J. Reinoso

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Antonio J. Reinoso is an author from Spain.

Publications

Only those publications related to wikis are shown here.
Title Keyword(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
A quantitative examination of the impact of featured articles in Wikipedia Wikipedia
Featured articles
Usage patterns
Traffic characterization
Quantitative analysis
ICSOFT English 2011 This paper presents a quantitative examination of the impact of the presentation of featured articles as quality content in the main page of several Wikipedia editions. Moreover, the paper also presents the analysis performed to determine the number of visits received by the articles promoted to the featured status. We have analyzed the visits not only in the month when articles awarded the promotion or were included in the main page, but also in the previous and following ones. The main aim for this is to assess the attention attracted by the featured content and the different dynamics exhibited by each community of users in respect to the promotion process. The main results of this paper are twofold: it shows how to extract relevant information related to the use of Wikipedia, which is an emerging research topic, and it analyzes whether the featured articles mechanism achieve to attract more attention. 3 0
A Statistical Approach to the Impact of Featured Articles in Wikipedia Wikipedia
Usage patterns
Traffic characterization
Quantitative analysis
KEOD English 2010 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 information about the use of Wikipedia, 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. 6 0
A quantitative approach to the use of the Wikipedia English 2009 This paper presents a quantitative study of the use of the Wikipedia system by its users (both readers and editors), with special focus on the identification of time and kind-of-use patterns, characterization of traffic and workload, and comparative analysis of different language editions. The basis of the study is the filtering and analysis of a large sample of the requests directed to the Wikimedia systems for six weeks, each in a month from November 2007 to April 2008. In particular, we have considered the twenty most frequently visited language editions of the Wikipedia, identifying for each access to any of them the corresponding namespace (sets of resources with uniform semantics), resource name (article names, for example) and action (editions, submissions, history reviews, save operations, etc.). The results found include the identification of weekly and daily patterns, and several correlations between several actions on the articles. In summary, the study shows an overall picture of how the most visited language editions of the Wikipedia are being accessed by their users. 0 0
Quantitative analysis and characterization of Wikipedia requests WikiSym English 2008 Our poster describes the quantitative analysis carried out to study the use of the Wikipedia system by its users with special focus on the identification of time and kind-of-use patterns, characterization of traffic and workload, and comparative analysis of different language editions. By filtering and classifying a large sample of the requests directed to the Wikimedia systems over 7 days we have been able to identify important information such us the targeted namespaces, the visited resources or the requested actions. The results found include the identification of weekly and daily patterns, and several correlations between different actions on the articles. In summary, the study shows an overall picture of how the most visited language editions of the Wikipedia are being accessed by their users. 0 0
Workshop on interdisciplinary research on Wikipedia and wiki communities Wikipedia
Collaboration
Interdisciplinary
Methodologies
Wiki communities
Workshop wiki communities
WikiSym English 2008 0 0