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Erschienen in:
2012 | OriginalPaper | Buchkapitel
An Improved Complex Network Community Detection Algorithm Based on K-Means
verfasst von : Yuqin Wang
Erschienen in: Advances in Future Computer and Control Systems
Verlag: Springer Berlin Heidelberg
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In order to find community structure that exists in complex network structure, this paper introduced K-means approach to the complex network community structure of the research. This paper studies the complex network of community structure detection algorithm, through the existing algorithm learn and study, proposed an improved algorithm based on K-means. Not know the premise of community structure for the complex networks division, the algorithm is simple and easy to understand, and the algorithm was used in karate network, through experimental verification, experimental results show that the algorithm is effective.