Methoden vergelijken

	Netwerkanalyse van motieven	Ego Netwerkanalyse
Vakgebied	Netwerkanalyse	Netwerkanalyse
Familie	Process / pipeline	Process / pipeline
Jaar van ontstaan	2002	1992 (Burt); foundational measurement formalised by Marsden 2002
Grondlegger	—	Ronald S. Burt (structural holes framework); Peter V. Marsden (egocentric measures)
Type	Statistical pattern-detection method for directed graphs	Descriptive / relational network analysis
Oorspronkelijke bron	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.	Burt, R.S. (1992). Structural Holes: The Social Structure of Competition. Harvard University Press. ISBN: 9780674843714
Aliassen	network motifs, subgraph significance profile, Ağ Motif Analizi (Network Motifs)	personal network analysis, egocentric network analysis, Ego Ağı Analizi (Personal Network Analysis)
Verwant	3	6
Samenvatting	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.	Ego network analysis examines the personal network of a focal individual — the ego — by mapping their direct contacts (alters) and the ties those contacts share with one another. Formalised through Ronald Burt's structural holes framework (1992) and Marsden's egocentric measurement approach (2002), the method produces ego-level indicators such as network size, density, constraint, and brokerage role that reveal how each individual's social position shapes their access to information, resources, and influence.