A new method for identifying detected communities based on graph substructure
|A new method for identifying detected communities based on graph substructure|
|Author(s)||Kameyama S., Uchida M., Shirayama S.|
|Published in||Proceedings - 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007|
|Keyword(s)||Unknown (Extra: Blogosphere, Characteristic properties, Community detection, Community structures, Complex networks, Detection methods, Intelligent agent technology, International conferences, Web intelligence, Wikipedia, Chlorine compounds, Technology, Signal detection)|
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A new method for identifying detected communities based on graph substructure is a 2007 conference paper written in English by Kameyama S., Uchida M., Shirayama S. and published in Proceedings - 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007.
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.
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