Võrdle meetodeid

	Bipartiiivõrgu analüüs	Võrgumotiivide analüüs
Valdkond	Võrgustikuanalüüs	Võrgustikuanalüüs
Perekond	Process / pipeline	Process / pipeline
Tekkeaasta	1997	2002
Looja	Borgatti & Everett (1997) formalised the two-mode network framework	—
Tüüp	Graph-structural / relational analysis	Statistical pattern-detection method for directed graphs
Algallikas	Borgatti, S.P. & Everett, M.G. (1997). Network Analysis of 2-Mode Data. Social Networks, 19(3), 243-269.	Milo, R., Shen-Orr, S., Itzkovitz, S., Kashtan, N., Chklovskii, D., & Alon, U. (2002). Network Motifs: Simple Building Blocks of Complex Networks. Science, 298(5594), 824-827.
Rööpnimetused	two-mode network analysis, affiliation network analysis, İki Modlu Ağ Analizi (Bipartite Networks)	network motifs, subgraph significance profile, Ağ Motif Analizi (Network Motifs)
Seotud	5	3
Kokkuvõte	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.	Network motif analysis is a statistical method for directed networks, introduced by Milo, Shen-Orr, and Alon in 2002, that identifies small recurring subgraph patterns — motifs — that appear significantly more often than would be expected in a comparable random network. By comparing a real network against a null ensemble of randomised graphs, the method reveals the elementary structural building blocks that define the functional organisation of biological regulatory networks, social networks, and other complex systems.