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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Method map
The neighbourhood of related methods — select a node to explore.
Allikad
- 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 ↗
Kuidas sellele lehele viidata
ScholarGate. (2026, June 3). Bayesian Inference for Temporal Network Analysis. ScholarGate. https://scholargate.app/et/network-analysis/bayesian-temporal-network-analysis
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Bayesiuse eksponentsiaalne juhuslike graafide mudelVõrgustikuanalüüs↔ compare
- Bayes'i stokastiline plokkmodelleerimineVõrgustikuanalüüs↔ compare
- Multilayer Temporal Network AnalysisVõrgustikuanalüüs↔ compare
- Ajaline võrguanalüüsVõrgustikuanalüüs↔ compare
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