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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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来源

  1. 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
  2. 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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ScholarGateDirected Network Diffusion Analysis (Directed Network Diffusion Analysis (Influence and Spreading Processes on Directed Graphs)). 于 2026-06-15 检索自 https://scholargate.app/zh/network-analysis/directed-network-diffusion-analysis · 数据集: https://doi.org/10.5281/zenodo.20539026