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Анализ взвешенных эгоцентрических сетей×Анализ эго-сетей×
ОбластьСетевой анализСетевой анализ
СемействоMachine learningProcess / pipeline
Год появления1954–20021992 (Burt); foundational measurement formalised by Marsden 2002
Автор методаBarnes, J. A.; Bott, E.; Marsden, P. V.Ronald S. Burt (structural holes framework); Peter V. Marsden (egocentric measures)
ТипEgo-centered network analysis with weighted tiesDescriptive / relational network analysis
Основополагающий источникMarsden, P. V. (2002). Egocentric and sociocentric measures of network centrality. Social Networks, 24(4), 407–422. DOI ↗Burt, R.S. (1992). Structural Holes: The Social Structure of Competition. Harvard University Press. ISBN: 9780674843714
Другие названияweighted personal network analysis, ego-centered weighted network analysis, weighted egonet analysis, tie-strength ego network analysispersonal network analysis, egocentric network analysis, Ego Ağı Analizi (Personal Network Analysis)
Связанные66
СводкаWeighted ego network analysis examines the personal network of a focal actor (the ego) and incorporates tie strength — measured as interaction frequency, closeness, or resource exchange — as edge weights. By moving beyond simple presence or absence of a tie, it captures how much each relationship matters and how those varying strengths shape outcomes such as social support, information access, or influence.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.
ScholarGateНабор данных
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  2. 2 Источники
  3. PUBLISHED
  1. v1
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ScholarGateСравнение методов: Weighted Ego Network Analysis · Ego Network Analysis. Получено 2026-06-18 из https://scholargate.app/ru/compare