Bayesian stochastic blockmodels for community detection in networks and community-structured covariance selection
Networks have been widely used to describe interactions among objects in diverse fields. Given the interest in explaining a network by its structure, much attention has been drawn to finding clusters of nodes with dense connections within clusters but sparse connections between clusters. Such cluste...
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| Language: | en_US |
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2016
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| Online Access: | https://hdl.handle.net/2144/15689 |