Inferring structure in bipartite networks using the latent blockmodel and exact ICL

We consider the task of simultaneous clustering of the two node sets involved in a bipartite network. The approach we adopt is based on use of the exact integrated complete likelihood for the latent blockmodel. Using this allows one to infer the number of clusters as well as cluster memberships usin...

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Veröffentlicht in:	Network science (Cambridge University Press) 2017-03, Vol.5 (1), p.45-69
Hauptverfasser:	WYSE, JASON, FRIEL, NIAL, LATOUCHE, PIERRE
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Clustering Markov analysis Mathematics Optimization techniques Statistics
Online-Zugang:	Volltext
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