Clustering Time-Evolving Networks Using Temporal Exponential-Family Random Graph Models with Conditional Dyadic Independence and Dynamic Latent Blocks
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DOI: 10.1080/10618600.2025.2484011
Abstract: Abstract Model-based clustering of dynamic networks has emerged as an increasingly important research topic in statistical network analysis. Effectively and efficiently exploring the dynamic latent block structure of time-evolving networks is critical. We propose a… read more here.
Keywords: dynamic latent; family random; temporal exponential; exponential family ... See more keywords