1. Community detection in complex networks using proximate support vector clustering.
- Author
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Feifan Wang, Baihai Zhang, Senchun Chai, and Yuanqing Xia
- Subjects
- *
HIERARCHICAL clustering (Cluster analysis) , *CLUSTER analysis (Statistics) , *SUPPORT vector machines , *COMPUTER networks , *COMPUTER algorithms - Abstract
Community structure, one of the most attention attracting properties in complex net-works, has been a cornerstone in advances of various scientific branches. A number of tools have been involved in recent studies concentrating on the community detection algorithms. In this paper, we propose a support vector clustering method based on a proximity graph, owing to which the introduced algorithm surpasses the traditional support vector approach both in accuracy and complexity. Results of extensive experiments undertaken on computer generated networks and real world data sets illustrate competent performances in comparison with the other counterparts. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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