Salīdzināt metodes

	Daudzslāņu tīklu analīze	Divīziju tīklu analīze
Nozare	Tīklu analīze	Tīklu analīze
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	2013–2014 (formal mathematical framework)	1997
Autors	Kivelä et al. (2014); De Domenico et al. (2013)	Borgatti & Everett (1997) formalised the two-mode network framework
Tips	Graph-theoretic network model	Graph-structural / relational analysis
Pirmavots	Kivelä, M. et al. (2014). Multilayer Networks. Journal of Complex Networks, 2(3), 203–271.	Borgatti, S.P. & Everett, M.G. (1997). Network Analysis of 2-Mode Data. Social Networks, 19(3), 243-269.
Citi nosaukumi	multiplex network analysis, multiplex networks, Çok Katmanlı Ağ Analizi (Multiplex Networks)	two-mode network analysis, affiliation network analysis, İki Modlu Ağ Analizi (Bipartite Networks)
Saistītās	6	5
Kopsavilkums	Multilayer network analysis is a graph-theoretic framework, formalised by Kivelä et al. (2014) and De Domenico et al. (2013), that represents the same set of nodes simultaneously across multiple relationship layers. Where a single-layer network collapses all relationships into one graph, the multilayer model preserves the distinct relational context of each layer — social platform, biological interaction type, or infrastructure tier — while also modelling how layers couple with each other through interlayer edges.	Bipartite network analysis, formalised by Borgatti and Everett in 1997, is a graph-structural method for studying networks in which nodes are divided into two disjoint sets — actors and events — and edges exist only between sets, never within them. It is the natural framework for author–paper, patient–disease, user–product, and any other affiliation data, and it extends one-mode network analysis by providing metrics and projection techniques tailored to the two-mode structure.