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Proceeding of the 11th World Congress on Intelligent Control and Automation, 2014
Community detection in complex networks can explore the information hidden in the exterior data relationships, understand the internal structure and function of complex system, and improve the efficiency of the system. So community detection has a high practical value.
null Rui Zhang +4 more
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Community detection in complex networks can explore the information hidden in the exterior data relationships, understand the internal structure and function of complex system, and improve the efficiency of the system. So community detection has a high practical value.
null Rui Zhang +4 more
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Robustness of clustering coefficients
Communications in Statistics - Theory and Methods, 2023Xiaofeng Zhao, Mingao Yuan
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A Self-learning Clustering Algorithm Based on Clustering Coefficient
2014This paper presents a novel clustering algorithm based on clustering coefficient. It includes two steps: First, k-nearest-neighbor method and correlation convergence are employed for a preliminary clustering. Then, the results are further split and merged according to intra-class and inter-class concentration degree based on clustering coefficient. The
MingJie Zhong +3 more
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High Clustering Coefficient of Computer Networks
2009 WASE International Conference on Information Engineering, 2009Due to the rapid development of network technology, the structure of computer network is increasingly complicated.The traditional random network model is difficult to haracterize the topology of current computer network.Complex network theory provides new view and thinking tostudy in this field.
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Clustering function: another view on clustering coefficient
Journal of Complex Networks, 2015Mindaugas Bloznelis, Valentas Kurauskas
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