Сравнение методов

	Байесовский анализ эгосетей	Анализ эго-сетей
Область	Сетевой анализ	Сетевой анализ
Семейство	Machine learning	Process / pipeline
Год появления	2010s	1992 (Burt); foundational measurement formalised by Marsden 2002
Автор метода	Various (Bayesian SNA tradition; Krivitsky, Kolaczyk, Handcock among key contributors)	Ronald S. Burt (structural holes framework); Peter V. Marsden (egocentric measures)
Тип	Probabilistic network model	Descriptive / relational network analysis
Основополагающий источник	Krivitsky, P. N., & Kolaczyk, E. D. (2015). On the question of effective sample size in network modeling: An asymptotic inquiry. Statistical Science, 30(2), 184–198.	Burt, R.S. (1992). Structural Holes: The Social Structure of Competition. Harvard University Press. ISBN: 9780674843714
Другие названия	Bayesian personal network analysis, Bayesian egocentric network analysis, probabilistic ego network modeling, Bayesian egonet	personal network analysis, egocentric network analysis, Ego Ağı Analizi (Personal Network Analysis)
Связанные	5	6
Сводка	Bayesian ego network analysis applies probabilistic inference to ego-centered (personal) network data, combining a likelihood model for the ego's local network with prior distributions over network parameters. The result is a full posterior distribution that quantifies uncertainty about structural features such as alter composition, tie density, and network size — rather than producing point estimates alone.	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.