The Random Subgraph Model for the analysis of an ecclesiastical network in Merovingian Gaul
ANNALS OF APPLIED STATISTICS, pp. 377-405, 2014.
In the last two decades many random graph models have been proposed to extract knowledge from networks. Most of them look for communities or, more generally, clusters of vertices with homogeneous connection profiles. While the first models focused on networks with binary edges only, extensions now allow to deal with valued networks. Recen...More
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