Porovnať metódy

	Analýza sieťových motívov	Analýza ego sietí	Sociálna sieťová analýza
Odbor	Analýza sietí	Analýza sietí	Analýza sietí
Rodina	Process / pipeline	Process / pipeline	Machine learning
Rok vzniku	2002	1992 (Burt); foundational measurement formalised by Marsden 2002	1934 (sociometry); 1994 (modern formalization)
Tvorca	—	Ronald S. Burt (structural holes framework); Peter V. Marsden (egocentric measures)	Moreno, J.L.; formalized by Wasserman & Faust
Typ	Statistical pattern-detection method for directed graphs	Descriptive / relational network analysis	Structural/relational analysis framework
Pôvodný zdroj	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	Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1
Ďalšie názvy	network motifs, subgraph significance profile, Ağ Motif Analizi (Network Motifs)	personal network analysis, egocentric network analysis, Ego Ağı Analizi (Personal Network Analysis)	SNA, network analysis, sociometric analysis, relational analysis
Príbuzné	3	6	5
Zhrnutie	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.	Social Network Analysis (SNA) is a structural method that maps and measures relationships and flows between people, groups, organizations, or other entities modeled as nodes connected by ties (edges). Rather than focusing on individual attributes, SNA reveals how the pattern of connections shapes behavior, influence, information flow, and outcomes within a system.