方法证据记录
Temporal Modularity Analysis
Temporal modularity analysis extends standard modularity-based community detection to time-varying networks by treating each time slice as a network layer and coupling adjacent layers with inter-temporal links. This allows researchers to identify how communities form, persist, merge, split, and dissolve over time in dynamic relational data.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Temporal Modularity Analysis (Dynamic Community Detection via Modularity Optimization)
分类方法记录 · ml-model / network-analysis
- Mucha, P. J., Richardson, T., Macon, K., Porter, M. A., & Onnela, J.-P. (2010). Community structure in time-dependent, multiscale, and multiplex networks. Science, 328(5980), 876-878. · DOI 10.1126/science.1184819
- Holme, P., & Saramaki, J. (2012). Temporal networks. Physics Reports, 519(3), 97-125. · DOI 10.1016/j.physrep.2012.03.001
精选声明
声明已持久化到证据分类账中，每个声明都有自己的评估。
尚无精选声明
当分类账中没有声明时，此视图不会自行创建声明评估。
相关方法
从方法图中生成，显示为机器建议的关系 — 不推断任何证据声明。