方法证据记录
Temporal Stochastic Block Model
The Temporal Stochastic Block Model (TSBM) extends the classic Stochastic Block Model to sequences of network snapshots, jointly inferring latent community memberships and how those memberships evolve across time. It combines a generative edge-probability model with a Markov process over block assignments, enabling principled statistical detection of community structure that changes over time.
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 Stochastic Block Model (Dynamic Community Detection via SBM)
分类方法记录 · ml-model / network-analysis
- Matias, C. & Miele, V. (2017). Statistical clustering of temporal networks through a dynamic stochastic block model. Journal of the Royal Statistical Society: Series B, 79(4), 1119–1141. · DOI 10.1111/rssb.12200
- Xu, K. S. & Hero, A. O. (2014). Dynamic stochastic blockmodels for time-evolving social networks. IEEE Journal of Selected Topics in Signal Processing, 8(4), 552–562. · DOI 10.1109/JSTSP.2014.2310294
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