方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 定向自我网络分析× | 有向介数中心性× | |
|---|---|---|
| 领域 | 网络分析 | 网络分析 |
| 方法族 | Machine learning | Machine learning |
| 起源年份≠ | 1954–2005 | 1977 |
| 提出者≠ | Barnes, J. A.; Bott, E.; extended by Everett & Borgatti | Freeman, L. C. |
| 类型≠ | Egocentric network method | Centrality measure (directed graph) |
| 开创性文献≠ | 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 ↗ |
| 别名 | directed personal network analysis, asymmetric ego network, directed egocentric network analysis, directed egonet analysis | directed BC, digraph betweenness, asymmetric betweenness centrality, directed Freeman betweenness |
| 相关 | 5 | 5 |
| 摘要≠ | 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. |
| ScholarGate数据集 ↗ |
|
|