مقایسهٔ روشها
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| مرکزیت نزدیکی جهتدار× | مرکزیت بینابینی جهتدار× | |
|---|---|---|
| حوزه | تحلیل شبکه | تحلیل شبکه |
| خانواده | Machine learning | Machine learning |
| سال پیدایش≠ | 1979–1994 | 1977 |
| پدیدآور≠ | Freeman, L. C.; Wasserman, S. & Faust, K. | Freeman, L. C. |
| نوع≠ | Centrality measure | Centrality measure (directed graph) |
| منبع بنیادین≠ | Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38269-4 | Freeman, L. C. (1977). A set of measures of centrality based on betweenness. Sociometry, 40(1), 35–41. DOI ↗ |
| نامهای دیگر | directed closeness, in-closeness centrality, out-closeness centrality, directional closeness | directed BC, digraph betweenness, asymmetric betweenness centrality, directed Freeman betweenness |
| مرتبط | 5 | 5 |
| خلاصه≠ | Directed closeness centrality extends the classical closeness measure to directed networks by separately quantifying how quickly a node can be reached by others (in-closeness) and how quickly it can reach all others (out-closeness). It is a foundational node-level metric in social network analysis and graph theory, used wherever link direction conveys meaningful asymmetry such as citation flows, information cascades, or authority hierarchies. | 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. |
| ScholarGateمجموعهداده ↗ |
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