An Extreme Learning Machine‐Based Community Detection Algorithm in Complex Networks
Feifan Wang, Baihai Zhang, Senchun Chai, Yuanqing Xia · Complexity · 2018
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 k‐means clustering techniques, we propose a novel community detection method that surpasses traditional k‐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.