Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Анализ направленных эгоцентрических сетей× | Анализ эго-сетей× | |
|---|---|---|
| Область | Сетевой анализ | Сетевой анализ |
| Семейство≠ | Machine learning | Process / pipeline |
| Год появления≠ | 1954–2005 | 1992 (Burt); foundational measurement formalised by Marsden 2002 |
| Автор метода≠ | Barnes, J. A.; Bott, E.; extended by Everett & Borgatti | Ronald S. Burt (structural holes framework); Peter V. Marsden (egocentric measures) |
| Тип≠ | Egocentric network method | Descriptive / relational network analysis |
| Основополагающий источник≠ | Everett, M. G., & Borgatti, S. P. (2005). Ego network betweenness. Social Networks, 27(1), 31–38. DOI ↗ | Burt, R.S. (1992). Structural Holes: The Social Structure of Competition. Harvard University Press. ISBN: 9780674843714 |
| Другие названия≠ | directed personal network analysis, asymmetric ego network, directed egocentric network analysis, directed egonet analysis | personal network analysis, egocentric network analysis, Ego Ağı Analizi (Personal Network Analysis) |
| Связанные≠ | 5 | 6 |
| Сводка≠ | Directed ego network analysis examines the personal network of a focal node — the ego — by distinguishing the direction of each tie: who sends resources, support, or information to the ego, and to whom the ego sends them. This asymmetric perspective reveals role differentiation, dependence, and brokerage that undirected ego networks cannot capture. | 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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