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Title: Estimation and clustering in popularity adjusted stochastic block model Authors:  Marianna Pensky - University of Central Florida (United States) [presenting]
Majid Noroozi - University of Central Florida (United States)
Ramchandra Rimal - University of Central Florida (United States)
Abstract: Stochastic networks in general and stochastic block models in particular attracted a lot of attention in the last decade. The Popularity Adjusted Block model (PABM) is considered, which generalizes the Stochastic Block model and the Degree Corrected Block Model by allowing more flexibility for block probabilities. We argue that the main appeal of the PABM is its less rigid spectral structure which makes the PABM an attractive choice for modeling networks that appear in biological sciences.