Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Analīze virzītajos ego tīklos× | Vērstā starpniecības centralitāte× | |
|---|---|---|
| Nozare | Tīklu analīze | Tīklu analīze |
| Saime | Machine learning | Machine learning |
| Izcelsmes gads≠ | 1954–2005 | 1977 |
| Autors≠ | Barnes, J. A.; Bott, E.; extended by Everett & Borgatti | Freeman, L. C. |
| Tips≠ | Egocentric network method | Centrality measure (directed graph) |
| Pirmavots≠ | 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 ↗ |
| Citi nosaukumi | directed personal network analysis, asymmetric ego network, directed egocentric network analysis, directed egonet analysis | directed BC, digraph betweenness, asymmetric betweenness centrality, directed Freeman betweenness |
| Saistītās | 5 | 5 |
| Kopsavilkums≠ | 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. |
| ScholarGateDatu kopa ↗ |
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