Methoden vergleichen

	Multilayer Community Detection	Multiplex-Netzwerkanalyse
Fachgebiet	Netzwerkanalyse	Netzwerkanalyse
Familie	Machine learning	Machine learning
Entstehungsjahr	2010–2014	2014
Urheber	Mucha, P. J. et al.; Kivela, M. et al.	Kivela, M.; Boccaletti, S. et al.
Typ	Community detection algorithm for multilayer networks	Structural network model
Wegweisende Quelle	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.
Aliasnamen	multilayer clustering, multiplex community detection, cross-layer community detection, MCD	multiplex networks, multi-layer network analysis, multilayer network analysis, MNA
Verwandt	5	6
Zusammenfassung	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.	Multiplex network analysis studies systems where the same set of nodes is connected by multiple distinct types of relationships, each represented as a separate network layer. By analyzing layers simultaneously rather than in isolation, it reveals how different relation types interact, reinforce each other, or compensate for one another across the same actors or entities.