Abstract
The use of online collaboration environments has become exceptionally widespread over the past decade. One of the most popular styles of collaboration are the “wiki” web sites. They have attracted attention because of their policy of letting anyone become an editor. This paper presents the technique for the analysis and visualization of Wikipedia - the largest wiki in existence. Specifically, it concentrates on some activity patterns of its contributors. First, a new visualization and analysis tool named JWikiVis is presented. Second, with the use of this software, some interesting user behaviors are described. Finally, text classification algorithms are applied in order to determine some patterns observed in individual wiki pages as well as in the entire service.
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Gawryjołek, J., Gawrysiak, P. (2007). The Analysis and Visualization of Entries in Wiki Services. In: Wegrzyn-Wolska, K.M., Szczepaniak, P.S. (eds) Advances in Intelligent Web Mastering. Advances in Soft Computing, vol 43. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72575-6_19
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DOI: https://doi.org/10.1007/978-3-540-72575-6_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72574-9
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