Bandingkan metode

	Analisis Motif Jaringan	Analisis Jaringan Ego
Bidang	Analisis Jaringan	Analisis Jaringan
Keluarga	Process / pipeline	Process / pipeline
Tahun asal	2002	1992 (Burt); foundational measurement formalised by Marsden 2002
Pencetus	—	Ronald S. Burt (structural holes framework); Peter V. Marsden (egocentric measures)
Tipe	Statistical pattern-detection method for directed graphs	Descriptive / relational network analysis
Sumber perintis	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
Alias	network motifs, subgraph significance profile, Ağ Motif Analizi (Network Motifs)	personal network analysis, egocentric network analysis, Ego Ağı Analizi (Personal Network Analysis)
Terkait	3	6
Ringkasan	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.