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There exist correlations between editing behaviors and hyperlinks structure in Wikipedia
Abstract The co-editing in Wikipedia is a typical aThe co-editing in Wikipedia is a typical and complex collective behavior with lots of voluntary editors' participation, while the relationship between the edit behaviors and the hyperlink structure of articles remains unknown until now. In this paper, we try to explore the correlation between them via a novel two-layer network. In this two-layer network, we model the articles in Wikipedia as nodes, and model the edits and hyperlinks as the edges of two layers respectively. Here, the correlation is suggested to be measured by a structure similarity metric. By analyzing the structure similarity of two layers via a method named partially ordered ranking, we find that there exist significant and stable correlations: in our sample dataset composed of four Wikipedia categories, the structure similarity is around 0.6, which is two times than that of a theoretical random network. Furthermore, if turn back to the initial stage of categories, i.e., take the evolution into consideration, the correlation is evolving too. Usually the evolution undergoes a sharp decline stage from the initial high value, and at last it tends to the stable value around 0.6.t it tends to the stable value around 0.6.
Abstractsub The co-editing in Wikipedia is a typical aThe co-editing in Wikipedia is a typical and complex collective behavior with lots of voluntary editors' participation, while the relationship between the edit behaviors and the hyperlink structure of articles remains unknown until now. In this paper, we try to explore the correlation between them via a novel two-layer network. In this two-layer network, we model the articles in Wikipedia as nodes, and model the edits and hyperlinks as the edges of two layers respectively. Here, the correlation is suggested to be measured by a structure similarity metric. By analyzing the structure similarity of two layers via a method named partially ordered ranking, we find that there exist significant and stable correlations: in our sample dataset composed of four Wikipedia categories, the structure similarity is around 0.6, which is two times than that of a theoretical random network. Furthermore, if turn back to the initial stage of categories, i.e., take the evolution into consideration, the correlation is evolving too. Usually the evolution undergoes a sharp decline stage from the initial high value, and at last it tends to the stable value around 0.6.t it tends to the stable value around 0.6.
Bibtextype inproceedings  +
Doi 10.1109/GRC.2011.6122699  +
Has author Haisu Zhang + , Huang L. + , Deyi Li + , Binbin Zheng +
Has extra keyword Collective behavior + , Human behaviors + , Hyperlink structure + , Hyperlinks + , Initial stages + , Random network + , Sample dataset + , Social Network Analysis + , Structure similarity + , Two layers + , Two-layer network + , Wikipedia + , Granular computing + , Social networking (online) + , Hypertext systems +
Has keyword Human behavior dynamics + , Social network analysis + , Wikipedia +
Isbn 9781457703713  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 790–795  +
Published in Proceedings - 2011 IEEE International Conference on Granular Computing, GrC 2011 +
Title There exist correlations between editing behaviors and hyperlinks structure in Wikipedia +
Type conference paper  +
Year 2011 +
Creation dateThis property is a special property in this wiki. 8 November 2014 06:24:26  +
Categories Publications without license parameter  + , Publications without remote mirror 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. 8 November 2014 06:24:26  +
DateThis property is a special property in this wiki. 2011  +
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