Methoden vergelijken

	Gerichte Multiplexnetwerkanalyse	Analyse van Multilayer-socialenetwerken
Vakgebied	Netwerkanalyse	Netwerkanalyse
Familie	Machine learning	Machine learning
Jaar van ontstaan	2013–2014	2014
Grondlegger	Kivela, M.; De Domenico, M. et al.	Kivela, M.; Boccaletti, S. et al.
Type	Multi-layer directed graph framework	Structural network analysis framework
Oorspronkelijke bron	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.
Aliassen	directed multilayer network analysis, directed multiplex graphs, asymmetric multiplex network analysis, DMNA	MSNA, multiplex network analysis, multilayer network analysis, interconnected network analysis
Verwant	6	6
Samenvatting	Directed multiplex network analysis models systems where the same set of nodes are connected by multiple types of directed (asymmetric) relationships across distinct layers — such as citation flows, information cascades, or authority hierarchies co-existing simultaneously. It extends multiplex network analysis by preserving both layer identity and edge directionality, enabling richer structural and dynamic insights.	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.