Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Аналіз его-мереж× | Центральний аналіз× | |
|---|---|---|
| Галузь | Мережевий аналіз | Мережевий аналіз |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 1992 (Burt); foundational measurement formalised by Marsden 2002 | 1979 |
| Автор методу≠ | Ronald S. Burt (structural holes framework); Peter V. Marsden (egocentric measures) | Linton C. Freeman |
| Тип≠ | Descriptive / relational network analysis | Descriptive / exploratory network measure family |
| Основоположне джерело≠ | Burt, R.S. (1992). Structural Holes: The Social Structure of Competition. Harvard University Press. ISBN: 9780674843714 | Freeman, L.C. (1979). Centrality in Social Networks: Conceptual Clarification. Social Networks, 1(3), 215-239. DOI ↗ |
| Інші назви≠ | personal network analysis, egocentric network analysis, Ego Ağı Analizi (Personal Network Analysis) | Merkeziyet Analizi (Degree, Betweenness, Eigenvector), node centrality, centrality measures, graph centrality |
| Пов'язані≠ | 6 | 5 |
| Підсумок≠ | 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. | Centrality analysis is a family of network-analytic measures, formalized by Freeman (1979), that quantifies the structural importance of individual nodes within a graph. Each centrality index captures a distinct mechanism of influence: degree centrality reflects direct connectivity, betweenness centrality identifies nodes that broker information flow, closeness centrality captures proximity to all others, and eigenvector centrality (along with PageRank) rewards connection to highly connected neighbors. |
| ScholarGateНабір даних ↗ |
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