Salīdzināt metodes

	Daudzslāņu kopienu noteikšana	Daudzslāņu sociālo tīklu analīze
Nozare	Tīklu analīze	Tīklu analīze
Saime	Machine learning	Machine learning
Izcelsmes gads	2010–2014	2014
Autors	Mucha, P. J. et al.; Kivela, M. et al.	Kivela, M.; Boccaletti, S. et al.
Tips	Community detection algorithm for multilayer networks	Structural network analysis framework
Pirmavots	Kivela, M., Arenas, A., Barthelemy, M., Gleeson, J. P., Moreno, Y., & Porter, M. A. (2014). Multilayer networks. Journal of Complex Networks, 2(3), 203–271.	Kivela, M., Arenas, A., Barthelemy, M., Gleeson, J. P., Moreno, Y., & Porter, M. A. (2014). Multilayer networks. Journal of Complex Networks, 2(3), 203–271.
Citi nosaukumi	multilayer clustering, multiplex community detection, cross-layer community detection, MCD	MSNA, multiplex network analysis, multilayer network analysis, interconnected network analysis
Saistītās	5	6
Kopsavilkums	Multilayer community detection identifies groups of nodes that are densely connected across multiple types of relationships simultaneously. By coupling layers of a network — such as friendship, advice, and collaboration ties — it finds communities that are coherent not just within one relation type but across all of them, revealing structure that single-layer analysis would miss.	Multilayer social network analysis extends classical single-layer network methods to settings where actors are connected through multiple, distinct types of ties — such as friendship, professional collaboration, and online interaction — simultaneously. By modeling each type of relationship as a separate layer and explicitly representing connections across layers, it captures structural complexity that a single aggregated network would hide.