Machine learningNetwork science
定向网络扩散分析
定向网络扩散分析研究信息、疾病、行为或影响力如何在具有方向性的边(即传输沿每个链接单向流动)的网络中传播。它将图论表示与随机传播模型(如独立级联、线性阈值或 SIR/SIS)相结合,是影响力最大化、流行病预测和信息传播研究的核心。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Kempe, D., Kleinberg, J., & Tardos, E. (2003). Maximizing the spread of influence through a social network. Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 137–146. DOI: 10.1145/956750.956769 ↗
- Pastor-Satorras, R., Castellano, C., Van Mieghem, P., & Vespignani, A. (2015). Epidemic processes in complex networks. Reviews of Modern Physics, 87(3), 925–979. DOI: 10.1103/RevModPhys.87.925 ↗
如何引用本页
ScholarGate. (2026, June 3). Directed Network Diffusion Analysis (Influence and Spreading Processes on Directed Graphs). ScholarGate. https://scholargate.app/zh/network-analysis/directed-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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