Porovnat metody

	Detekce komunit ve vícevrstvých sítích	Analýza vícevrstvých sociálních sítí
Obor	Analýza sítí	Analýza sítí
Rodina	Machine learning	Machine learning
Rok vzniku	2010–2014	2014
Tvůrce	Mucha, P. J. et al.; Kivela, M. et al.	Kivela, M.; Boccaletti, S. et al.
Typ	Community detection algorithm for multilayer networks	Structural network analysis framework
Původní zdroj	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.
Další názvy	multilayer clustering, multiplex community detection, cross-layer community detection, MCD	MSNA, multiplex network analysis, multilayer network analysis, interconnected network analysis
Příbuzné	5	6
Shrnutí	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.