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A new method for identifying detected communities based on graph substructure
Abstract Many methods have been developed that can Many methods have been developed that can detect community structures in complex networks. The detection methods can be classified into three groups based on their characteristic properties. In this study, the inherent features of the detection methods were used to develop a method that identifies communities extracted using a given community detection method. Initially, a common detection method is used to divide a network into communities. The communities are then identified using another detection method from a different class. In this paper, the community structures are first extracted from a network using the method proposed by Newman and Girvan. The extracted communities are then identified using the proposed detection method that is an extension of the vertex similarity method proposed by Leicht et al. The proposed method was used to identify communities in a blog network (blogosphere) and in a Wikipedia word network.gosphere) and in a Wikipedia word network.
Abstractsub Many methods have been developed that can Many methods have been developed that can detect community structures in complex networks. The detection methods can be classified into three groups based on their characteristic properties. In this study, the inherent features of the detection methods were used to develop a method that identifies communities extracted using a given community detection method. Initially, a common detection method is used to divide a network into communities. The communities are then identified using another detection method from a different class. In this paper, the community structures are first extracted from a network using the method proposed by Newman and Girvan. The extracted communities are then identified using the proposed detection method that is an extension of the vertex similarity method proposed by Leicht et al. The proposed method was used to identify communities in a blog network (blogosphere) and in a Wikipedia word network.gosphere) and in a Wikipedia word network.
Bibtextype inproceedings  +
Doi 10.1109/WIIATW.2007.4427585  +
Has author Kameyama S. + , Uchida M. + , Shirayama S. +
Has extra keyword Blogs + , Characteristic properties + , Community detection + , Community structures + , Complex networks + , Detection methods + , Intelligent agent technology + , International conferences + , Web intelligence + , Wikipedia + , Chlorine compounds + , Technology + , Signal detection +
Isbn 0769530281; 9780769530284  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 263–267  +
Published in Proceedings - 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007 +
Title A new method for identifying detected communities based on graph substructure +
Type conference paper  +
Year 2007 +
Creation dateThis property is a special property in this wiki. 6 November 2014 22:53:52  +
Categories Publications without keywords parameter  + , 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. 6 November 2014 22:53:52  +
DateThis property is a special property in this wiki. 2007  +
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A new method for identifying detected communities based on graph substructure + Title
 

 

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