The role of influential nodes and their influence domain in community detection: An approximate method for maximizing modularity

•Modularity maximization is one of the newest methods for community detection.•Using approximate algorithms based on identifying influential nodes for maximizing modularity.•An advantage of this method is its flexibility in identifying communities.•Can be applied to other metrics for measuring the q...

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Veröffentlicht in:	Expert systems with applications Jg. 202; S. 117452
Hauptverfasser:	Javadpour Boroujeni, Rouhollah, Soleimani, Seyfollah
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 15.09.2022 Elsevier BV
Schlagworte:	Algorithms Approximate algorithm Approximation Community detection Complex networks Complexity Domains Influential nodes Maximization Modularity Network analysis Nodes Optimization RIS framework RIS framework Community detection Approximate algorithm Influential nodes Modularity Complex networks
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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