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Statistical modelling of the group structure of social networks

Research output: Contribution to journalJournal article


Journal publication date07/2014
JournalSocial Networks
Number of pages14
Early online date2/04/14
Original languageEnglish


This research evaluates the identification of group structure in social networks through the latent class model and a new Bayesian model comparison method for the number of latent classes. The approach is applied to a well-known network of women in Natchez Mississippi. The latent class analysis reproduces the group structure of the women identified by the original sociologists.