方法对比
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| 定向自我网络分析× | 加权自我网络分析× | |
|---|---|---|
| 领域 | 网络分析 | 网络分析 |
| 方法族 | Machine learning | Machine learning |
| 起源年份≠ | 1954–2005 | 1954–2002 |
| 提出者≠ | Barnes, J. A.; Bott, E.; extended by Everett & Borgatti | Barnes, J. A.; Bott, E.; Marsden, P. V. |
| 类型≠ | Egocentric network method | Ego-centered network analysis with weighted ties |
| 开创性文献≠ | Everett, M. G., & Borgatti, S. P. (2005). Ego network betweenness. Social Networks, 27(1), 31–38. DOI ↗ | Marsden, P. V. (2002). Egocentric and sociocentric measures of network centrality. Social Networks, 24(4), 407–422. DOI ↗ |
| 别名 | directed personal network analysis, asymmetric ego network, directed egocentric network analysis, directed egonet analysis | weighted personal network analysis, ego-centered weighted network analysis, weighted egonet analysis, tie-strength ego network analysis |
| 相关≠ | 5 | 6 |
| 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. | Weighted ego network analysis examines the personal network of a focal actor (the ego) and incorporates tie strength — measured as interaction frequency, closeness, or resource exchange — as edge weights. By moving beyond simple presence or absence of a tie, it captures how much each relationship matters and how those varying strengths shape outcomes such as social support, information access, or influence. |
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