Machine learningNetwork science
动态自我网络分析
动态自我网络分析考察个体（自我）周围的个人网络如何随时间变化。通过在多个时间点收集相同的以自我为中心的网络数据，研究人员可以追踪联结的形成与解体、网络构成的变化以及密度、约束和网络规模等结构性属性的变化——并将这些动态与个体结果联系起来。
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来源
- Burt, R. S. (1992). Structural Holes: The Social Structure of Competition. Harvard University Press. ISBN: 978-0-674-84372-1
- Crossley, N., Bellotti, E., Edwards, G., Everett, M. G., Koskinen, J., & Tranmer, M. (2015). Social Network Analysis for Ego-Nets. SAGE Publications. ISBN: 978-1-4462-0692-7
如何引用本页
ScholarGate. (2026, June 3). Dynamic Ego Network Analysis (Longitudinal Personal Network Analysis). ScholarGate. https://scholargate.app/zh/network-analysis/dynamic-ego-network-analysis
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