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Анализ эго-сетей×Временной анализ сетей×
ОбластьСетевой анализСетевой анализ
СемействоProcess / pipelineProcess / pipeline
Год появления1992 (Burt); foundational measurement formalised by Marsden 20022012
Автор методаRonald S. Burt (structural holes framework); Peter V. Marsden (egocentric measures)Holme & Saramäki (2012) — seminal framework
ТипDescriptive / relational network analysisDynamic graph analysis
Основополагающий источникBurt, R.S. (1992). Structural Holes: The Social Structure of Competition. Harvard University Press. ISBN: 9780674843714Holme, P. & Saramäki, J. (2012). Temporal Networks. Physics Reports, 519(3), 97-125. DOI ↗
Другие названияpersonal network analysis, egocentric network analysis, Ego Ağı Analizi (Personal Network Analysis)dynamic network analysis, time-varying network analysis, Zamansal Ağ Analizi (Temporal / Dynamic Networks)
Связанные63
СводкаEgo 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.Temporal network analysis, formalised by Holme and Saramäki in their landmark 2012 Physics Reports survey, is the study of networks in which edges appear and disappear over time. Rather than collapsing all contacts into a single static graph, the approach preserves the precise timing of interactions — whether as contact sequences, time-stamped event lists, or windowed snapshots — and uses that timing to track how influence, disease, or information can actually propagate through the system.
ScholarGateНабор данных
  1. v1
  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

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ScholarGateСравнение методов: Ego Network Analysis · Temporal Network Analysis. Получено 2026-06-17 из https://scholargate.app/ru/compare