Machine learningNetwork science
加权网络扩散分析
加权网络扩散分析模型信息、影响力、疾病或资源如何在具有定量强度值的边的网络中传播。通过让连接权重控制转移概率，该方法比二元边扩散产生更真实的传播动力学，揭示了高流量路径在社交、生物和信息网络中主导传播。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Barrat, A., Barthelemy, M., Pastor-Satorras, R., & Vespignani, A. (2004). The architecture of complex weighted networks. Proceedings of the National Academy of Sciences, 101(11), 3747–3752. DOI: 10.1073/pnas.0400087101 ↗
- Newman, M. E. J. (2004). Analysis of weighted networks. Physical Review E, 70(5), 056131. DOI: 10.1103/PhysRevE.70.056131 ↗
如何引用本页
ScholarGate. (2026, June 3). Weighted Network Diffusion Analysis. ScholarGate. https://scholargate.app/zh/network-analysis/weighted-network-diffusion-analysis
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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