Machine learningNetwork science
多层介数中心性
多层介数中心性将经典的介数度量扩展到具有多种关系类型（或层）的网络，通过计算一个节点在可以跨越任何层或在层之间切换的最短路径上的频率来衡量。它识别那些同时跨越不同交互域的经纪人和桥梁。
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来源
- De Domenico, M., Solé-Ribalta, A., Cozzo, E., Kivelä, M., Moreno, Y., Porter, M. A., Gómez, S., & Arenas, A. (2013). Mathematical formulation of multilayer networks. Physical Review X, 3(4), 041022. DOI: 10.1103/PhysRevX.3.041022 ↗
- Kivelä, M., Arenas, A., Barthelemy, M., Gleeson, J. P., Moreno, Y., & Porter, M. A. (2014). Multilayer networks. Journal of Complex Networks, 2(3), 203–271. DOI: 10.1093/comnet/cnu016 ↗
如何引用本页
ScholarGate. (2026, June 3). Multilayer Betweenness Centrality (Tensor-based Network Centrality). ScholarGate. https://scholargate.app/zh/network-analysis/multilayer-betweenness-centrality
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