A spherical latent space model for undirected binary networks is proposed, using cosine similarity between unit-vector positions, with Bayesian MCMC inference and comparisons on Florentine marriage and monk network data.
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Spherical latent space models for social network analysis
A spherical latent space model for undirected binary networks is proposed, using cosine similarity between unit-vector positions, with Bayesian MCMC inference and comparisons on Florentine marriage and monk network data.