Machine learningNetwork science
时间网络扩散分析
时间网络扩散分析研究信息、疾病、影响力或其他传染物如何在结构随时间变化的网络的传播。通过将边建模为带时间戳的接触而非静态链接，它捕捉了时序和顺序在决定哪些节点被触达、速度如何以及通过哪些路径触达的关键作用——从而得出静态网络模型系统性地遗漏的结论。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
来源
- Holme, P. & Saramäki, J. (2012). Temporal networks. Physics Reports, 519(3), 97–125. DOI: 10.1016/j.physrep.2012.03.001 ↗
- Masuda, N. & Lambiotte, R. (2016). A Guide to Temporal Networks. World Scientific. ISBN: 978-1-78634-052-4
如何引用本页
ScholarGate. (2026, June 3). Temporal Network Diffusion Analysis (Time-Varying Spreading Processes on Dynamic Networks). ScholarGate. https://scholargate.app/zh/network-analysis/temporal-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.
Compare side by side →