เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การวิเคราะห์เครือข่ายอัตตาแบบมีทิศทาง× | Directed Betweenness Centrality× | |
|---|---|---|
| สาขาวิชา | การวิเคราะห์เครือข่าย | การวิเคราะห์เครือข่าย |
| ตระกูล | Machine learning | Machine learning |
| ปีกำเนิด≠ | 1954–2005 | 1977 |
| ผู้ริเริ่ม≠ | Barnes, J. A.; Bott, E.; extended by Everett & Borgatti | Freeman, L. C. |
| ประเภท≠ | Egocentric network method | Centrality measure (directed graph) |
| แหล่งต้นตำรับ≠ | 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 ↗ |
| ชื่อเรียกอื่น | directed personal network analysis, asymmetric ego network, directed egocentric network analysis, directed egonet analysis | directed BC, digraph betweenness, asymmetric betweenness centrality, directed Freeman betweenness |
| ที่เกี่ยวข้อง | 5 | 5 |
| สรุป≠ | 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. |
| ScholarGateชุดข้อมูล ↗ |
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