Community detection in complex networks using stacked autoencoders and crow search algorithm

The presence of community structures in complex networks reveals meaningful insights about such networks and their constituent entities. Finding groups of related nodes based on mutual interests, common features, objectives, or interactions in a network is known as community detection. In this paper...

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Veröffentlicht in:	The Journal of supercomputing Jg. 79; H. 3; S. 3329 - 3356
Hauptverfasser:	Kumar, Sanjay, Mallik, Abhishek, Sengar, Sandeep Singh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.02.2023 Springer Nature B.V
Schlagworte:	Algorithms Centroids Cluster analysis Clustering Collaboration Community Compilers Computer Science Computing time Interpreters Machine learning Modularity Networks Optimization Performance measurement Processor Architectures Programming Languages Propagation Search algorithms Social networks Sociology Synthetic data Topology Vector quantization Community detection Social networks means clustering Crow search algorithm (CSA) Complex networks Stacked autoencoders
ISSN:	0920-8542, 1573-0484
Online-Zugang:	Volltext
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