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Classifying Wikipedia Articles Using Network Motif Counts and Ratios
Abstract Because the production of Wikipedia articlBecause the production of Wikipedia articles is a collaborative process, the edit network around a article can tell us something about the quality of that article. Articles that have received little attention will have sparse networks; at the other end of the spectrum, articles that are Wikipedia battle grounds will have very crowded networks. In this paper we evaluate the idea of characterizing edit networks as a vector of motif counts that can be used in clustering and classification. Our objective is not immediately to develop a powerful classifier but to assess what is the signal in network motifs. We show that this motif count vector representation is effective for classifying articles on the Wikipedia quality scale. We further show that ratios of motif counts can effectively overcome normalization problems when comparing networks of radically different sizes.ing networks of radically different sizes.
Abstractsub Because the production of Wikipedia articlBecause the production of Wikipedia articles is a collaborative process, the edit network around a article can tell us something about the quality of that article. Articles that have received little attention will have sparse networks; at the other end of the spectrum, articles that are Wikipedia battle grounds will have very crowded networks. In this paper we evaluate the idea of characterizing edit networks as a vector of motif counts that can be used in clustering and classification. Our objective is not immediately to develop a powerful classifier but to assess what is the signal in network motifs. We show that this motif count vector representation is effective for classifying articles on the Wikipedia quality scale. We further show that ratios of motif counts can effectively overcome normalization problems when comparing networks of radically different sizes.ing networks of radically different sizes.
Bibtextype inproceedings  +
Has author Guangyu Wu + , Martin Harrigan + , Pádraig Cuningham +
Has keyword Quality + , Edit Networks +
Has remote mirror http://www.wikisym.org/ws2012/bin/download/Main/Program/p2awikisym2012.PDF  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Peer-reviewed Yes  +
Published in WikiSym +
Title Classifying Wikipedia Articles Using Network Motif Counts and Ratios +
Type conference paper  +
Year 2012 +
Creation dateThis property is a special property in this wiki. 16 September 2012 14:13:33  +
Categories Publications without license parameter  + , Publications without DOI parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 26 November 2012 17:17:00  +
DateThis property is a special property in this wiki. August 2012  +
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