Israel Herraiz

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Israel Herraiz 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
Temporal characterization of the requests to Wikipedia CEUR Workshop Proceedings English 2011 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 thia 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. 0 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 statistical approach to the impact of featured articles in Wikipedia Quantitative analysis
Traffic characterization
Usage patterns
Wikipedia
KEOD 2010 - Proceedings of the International Conference on Knowledge Engineering and Ontology Development 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. 0 0