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Large Network limit for Latent Variable Process Models with Endogeneously Evolving Interactions among Multiple Types
Motivated by the opinion and social dynamics literature, we rigorously study dynamically co-evolving latent space network models, where agent opinions evolve based on a latent state space model influenced by and influencing an underlying dynamically evolving graph determining their interactions. In
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