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Temporal Stochastic Block Model/Evidence
Method evidence record

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.

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Source record

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Temporal Stochastic Block Model (Dynamic Community Detection via SBM)
Taxonomic method record · 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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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketMultilayer Stochastic Block Modelmachine-suggested · Relational suggestion, not evidence.Used in the same domainStochastic Block Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketTemporal Community Detectionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketTemporal Modularity Analysismachine-suggested · Relational suggestion, not evidence.

Evidence status

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Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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