A Bayesian dynamic latent space model is introduced for weighted temporal networks with time-varying features, excess zeros, and an efficient multi-move sampler new to the network literature.
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A Bayesian Dynamic Latent Space Model for Weighted Networks
A Bayesian dynamic latent space model is introduced for weighted temporal networks with time-varying features, excess zeros, and an efficient multi-move sampler new to the network literature.