The Wiki way: quick collaboration on the Web
The Wiki way: quick collaboration on the Web
He says, she says: conflict and coordination in Wikipedia
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Measuring Qualities of Articles Contributed by Online Communities
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Structuring wiki revision history
Proceedings of the 2007 international symposium on Wikis
Creating, destroying, and restoring value in wikipedia
Proceedings of the 2007 international ACM conference on Supporting group work
Size matters: word count as a measure of quality on wikipedia
Proceedings of the 17th international conference on World Wide Web
Assessing the quality of Wikipedia articles with lifecycle based metrics
Proceedings of the 5th International Symposium on Wikis and Open Collaboration
Social rewarding in wiki systems - motivating the community
OCSC'07 Proceedings of the 2nd international conference on Online communities and social computing
Automatic vandalism detection in Wikipedia
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Wiki trust metrics based on phrasal analysis
WikiSym '08 Proceedings of the 4th International Symposium on Wikis
Assigning trust to Wikipedia content
WikiSym '08 Proceedings of the 4th International Symposium on Wikis
Tell me more: an actionable quality model for Wikipedia
Proceedings of the 9th International Symposium on Open Collaboration
Proceedings of the 19th Brazilian symposium on Multimedia and the web
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Wikipedia is well known as a free encyclopedia, which is a type of collaborative repository system that allows the viewer to create and edit articles directly in the web browser. The weakness of the Wikipedia system is the possibility of manipulation and vandalism cannot be ruled out, so that the quality of any given Wikipedia article is not guaranteed. It is an important work to establish a quality evaluation method to help users decide how much they should trust an article in Wikipedia. In this paper we investigate the edit history of Wikipedia articles and propose a model of network structure of editors. We propose an algorithm to calculate the network structural indicator restoreratio. We use the proposed indicator combined with existing metrics to predict the quality of Wikipedia articles through support vector machine technology. The experimental results show that the proposed indicator has better performance in quality evaluation than several existing metrics.