Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Анализ взвешенных эгоцентрических сетей× | Социальный сетевой анализ× | |
|---|---|---|
| Область | Сетевой анализ | Сетевой анализ |
| Семейство | Machine learning | Machine learning |
| Год появления≠ | 1954–2002 | 1934 (sociometry); 1994 (modern formalization) |
| Автор метода≠ | Barnes, J. A.; Bott, E.; Marsden, P. V. | Moreno, J.L.; formalized by Wasserman & Faust |
| Тип≠ | Ego-centered network analysis with weighted ties | Structural/relational analysis framework |
| Основополагающий источник≠ | Marsden, P. V. (2002). Egocentric and sociocentric measures of network centrality. Social Networks, 24(4), 407–422. DOI ↗ | Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1 |
| Другие названия | weighted personal network analysis, ego-centered weighted network analysis, weighted egonet analysis, tie-strength ego network analysis | SNA, network analysis, sociometric analysis, relational analysis |
| Связанные≠ | 6 | 5 |
| Сводка≠ | Weighted 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. | 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. |
| ScholarGateНабор данных ↗ |
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