Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Analiza Rețelelor Ego Dirijate× | Centralitatea de Intermediar Direcționat× | |
|---|---|---|
| Domeniu | Analiza rețelelor | Analiza rețelelor |
| Familie | Machine learning | Machine learning |
| Anul apariției≠ | 1954–2005 | 1977 |
| Autorul original≠ | Barnes, J. A.; Bott, E.; extended by Everett & Borgatti | Freeman, L. C. |
| Tip≠ | Egocentric network method | Centrality measure (directed graph) |
| Sursa seminală≠ | 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 ↗ |
| Denumiri alternative | directed personal network analysis, asymmetric ego network, directed egocentric network analysis, directed egonet analysis | directed BC, digraph betweenness, asymmetric betweenness centrality, directed Freeman betweenness |
| Înrudite | 5 | 5 |
| Rezumat≠ | 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. |
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