Machine learningNetwork science
动态度中心性
动态度中心性将经典的度中心性度量扩展到随时间变化的网络。它不计算单个静态快照中节点的连接数，而是跟踪每个节点在连续时间窗口或接触事件中维持的联系数量，为网络中的每个参与者生成一个时间分辨的重要性剖面。
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来源
- Holme, P. & Saramaki, J. (2012). Temporal networks. Physics Reports, 519(3), 97–125. DOI: 10.1016/j.physrep.2012.03.001 ↗
- Kim, H. & Anderson, R. (2012). Temporal node centrality in complex networks. Physical Review E, 85(2), 026107. DOI: 10.1103/PhysRevE.85.026107 ↗
如何引用本页
ScholarGate. (2026, June 3). Dynamic Degree Centrality in Temporal Networks. ScholarGate. https://scholargate.app/zh/network-analysis/dynamic-degree-centrality
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