A comprehensive survey on community detection methods and applications in complex information networks

Abstract This paper extensively reviews the literature of community detection in complex networks and proposes a general classification describing the main models used for this purpose. Besides, a statistical study of the distribution of the recent relevant literature has been realized to picture th...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Diboune, Abdelhani [verfasserIn]

Slimani, Hachem [verfasserIn]

Nacer, Hassina [verfasserIn]

Beghdad Bey, Kadda [verfasserIn]

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2024

Schlagwörter:

Network community detection

Graph clustering

Machine learning techniques

Multi-objective optimization

Game theoretic approaches

Networks applications

Anmerkung:

© The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Übergeordnetes Werk:

Enthalten in: Social network analysis and mining - Springer Vienna, 2011, 14(2024), 1 vom: 18. Apr.

Übergeordnetes Werk:

volume:14 ; year:2024 ; number:1 ; day:18 ; month:04

Links:

Volltext

DOI / URN:

10.1007/s13278-024-01246-5

Katalog-ID:

SPR055578497

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