An Extreme Learning Machine-Based Community Detection Algorithm in Complex Networks

Feifan Wang, Baihai Zhang, Senchun Chai and Yuanqing Xia

Complexity, 2018, vol. 2018, 1-10

Abstract:

Community structure, one of the most popular properties in complex networks, has long been a cornerstone in the advance of various scientific branches. Over the past few years, a number of tools have been used in the development of community detection algorithms. In this paper, by means of fusing unsupervised extreme learning machines and the -means clustering techniques, we propose a novel community detection method that surpasses traditional -means approaches in terms of precision and stability while adding very few extra computational costs. Furthermore, results of extensive experiments undertaken on computer-generated networks and real-world datasets illustrate acceptable performances of the introduced algorithm in comparison with other typical community detection algorithms.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:hin:complx:8098325

DOI: 10.1155/2018/8098325

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