Clustering Time-Evolving Networks Using Temporal Exponential-Family Random Graph Models with Conditional Dyadic Independence and Dynamic Latent Blocks
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Computational and Graphical Statistics"
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
Temporal exponential random graph models of longitudinal brain networks after stroke
Sign Up to like & getrecommendations! Published in 2022 at "Journal of the Royal Society Interface"
DOI: 10.1098/rsif.2021.0850
Abstract: Plasticity after stroke is a complex phenomenon. Functional reorganization occurs not only in the perilesional tissue but throughout the brain. However, the local connection mechanisms generating such global network changes remain largely unknown. To address… read more here.
Keywords: brain; graph models; exponential random; temporal exponential ... See more keywords