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Bayesian Temporal Network Analysis/Evidence
Method evidence record

Bayesian Temporal Network Analysis

Bayesian temporal network analysis combines probabilistic Bayesian inference with time-ordered relational data to model how network structures evolve, quantify uncertainty around structural estimates, and make principled predictions about future connectivity patterns. It provides credible intervals on edge probabilities and community assignments rather than bare point estimates.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Bayesian Inference for Temporal Network Analysis
Taxonomic method record · ml-model / network-analysis
  • Hanneke, S., Fu, W., & Xing, E. P. (2010). Discrete temporal models of social networks. Electronic Journal of Statistics, 4, 585–605. · DOI 10.1214/09-EJS548
  • Peixoto, T. P. (2017). Nonparametric Bayesian inference of the microcanonical stochastic block model. Physical Review E, 95(1), 012317. · DOI 10.1103/PhysRevE.95.012317
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Curated claims

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Related methods

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

Taxonomic bucketBayesian Exponential Random Graph Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian Stochastic Block Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMultilayer Temporal Network Analysismachine-suggested · Relational suggestion, not evidence.Used in the same domainTemporal Network Analysismachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

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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