A. Reinoso, Jesus M. Gonzalez-Barahona, Felipe Ortega, G. Robles
{"title":"Quantitative analysis and characterization of Wikipedia requests","authors":"A. Reinoso, Jesus M. Gonzalez-Barahona, Felipe Ortega, G. Robles","doi":"10.1145/1822258.1822302","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":355697,"journal":{"name":"Proceedings of the 4th International Symposium on Wikis - WikiSym '08","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 4th International Symposium on Wikis - WikiSym '08","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1822258.1822302","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
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.
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