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Bayesian Multiplex Network Analysis/Evidence
Method evidence record

Bayesian Multiplex Network Analysis

Bayesian multiplex network analysis applies probabilistic generative modelling to networks that carry more than one type of relational tie simultaneously — such as friendship, collaboration, and communication links among the same set of actors. By placing priors over community memberships, edge probabilities, and layer interdependencies, the framework yields posterior distributions rather than point estimates, supporting principled uncertainty quantification across all inferred network properties.

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Source record

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

Bayesian Multiplex Network Analysis (Probabilistic Inference on Multi-Layer Networks)
Taxonomic method record · ml-model / network-analysis
  • De Bacco, C., Power, E. A., Larremore, D. B., & Moore, C. (2017). Community detection, link prediction, and layer interdependence in multilayer networks. Physical Review E, 95(4), 042317. · DOI 10.1103/PhysRevE.95.042317
  • Kivela, M., Arenas, A., Barthelemy, M., Gleeson, J. P., Moreno, Y., & Porter, M. A. (2014). Multilayer networks. Journal of Complex Networks, 2(3), 203-271. · DOI 10.1093/comnet/cnu016
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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 Community Detectionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian Stochastic Block Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMultiplex Network Analysismachine-suggested · Relational suggestion, not evidence.Used in the same domainStochastic Block Modelmachine-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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