Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Анализ направленных эгоцентрических сетей× | Directed Betweenness Centrality× | |
|---|---|---|
| Область | Сетевой анализ | Сетевой анализ |
| Семейство | Machine learning | Machine learning |
| Год появления≠ | 1954–2005 | 1977 |
| Автор метода≠ | Barnes, J. A.; Bott, E.; extended by Everett & Borgatti | Freeman, L. C. |
| Тип≠ | Egocentric network method | Centrality measure (directed graph) |
| Основополагающий источник≠ | Everett, M. G., & Borgatti, S. P. (2005). Ego network betweenness. Social Networks, 27(1), 31–38. DOI ↗ | Freeman, L. C. (1977). A set of measures of centrality based on betweenness. Sociometry, 40(1), 35–41. DOI ↗ |
| Другие названия | directed personal network analysis, asymmetric ego network, directed egocentric network analysis, directed egonet analysis | directed BC, digraph betweenness, asymmetric betweenness centrality, directed Freeman betweenness |
| Связанные | 5 | 5 |
| 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. | Directed Betweenness Centrality extends Freeman's classic betweenness measure to directed graphs, quantifying how often a node lies on the shortest directed paths between all other pairs of nodes. It identifies gatekeepers, brokers, and bottlenecks in asymmetric flows such as information cascades, citation networks, and organizational hierarchies. |
| ScholarGateНабор данных ↗ |
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