Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Аналіз его-мереж× | Аналіз соціальних мереж× | |
|---|---|---|
| Галузь | Мережевий аналіз | Мережевий аналіз |
| Родина≠ | Process / pipeline | Machine learning |
| Рік появи≠ | 1992 (Burt); foundational measurement formalised by Marsden 2002 | 1934 (sociometry); 1994 (modern formalization) |
| Автор методу≠ | Ronald S. Burt (structural holes framework); Peter V. Marsden (egocentric measures) | Moreno, J.L.; formalized by Wasserman & Faust |
| Тип≠ | Descriptive / relational network analysis | Structural/relational analysis framework |
| Основоположне джерело≠ | Burt, R.S. (1992). Structural Holes: The Social Structure of Competition. Harvard University Press. ISBN: 9780674843714 | Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1 |
| Інші назви≠ | personal network analysis, egocentric network analysis, Ego Ağı Analizi (Personal Network Analysis) | SNA, network analysis, sociometric analysis, relational analysis |
| 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. | Social Network Analysis (SNA) is a structural method that maps and measures relationships and flows between people, groups, organizations, or other entities modeled as nodes connected by ties (edges). Rather than focusing on individual attributes, SNA reveals how the pattern of connections shapes behavior, influence, information flow, and outcomes within a system. |
| ScholarGateНабір даних ↗ |
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