Distributed parallel deep learning with a hybrid backpropagation-particle swarm optimization for community detection in large complex networks

In this paper, a parallel deep learning-based community detection method in large complex networks (CNs) is proposed. First, a CN partitioning method is employed to divide the CN into multiple chunks to improve the efficiency in terms of space and time complexities. Next, the method is integrated wi...

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Vydáno v:	Information sciences Ročník 600; s. 94 - 117
Hlavní autoři:	Nasser Al-Andoli, Mohammed, Chiang Tan, Shing, Ping Cheah, Wooi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Inc 01.07.2022
Témata:	Backpropagation algorithm Community detection Complex networks Deep learning Distributed and parallel computing Particle swarm optimization Deep learning Community detection Backpropagation algorithm Distributed and parallel computing Particle swarm optimization Complex networks
ISSN:	0020-0255, 1872-6291
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