Corrected Bayesian Information Criterion for Stochastic Block Models
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2019.1637744
Abstract: Abstract Estimating the number of communities is one of the fundamental problems in community detection. We re-examine the Bayesian paradigm for stochastic block models (SBMs) and propose a “corrected Bayesian information criterion” (CBIC), to determine… read more here.
Keywords: corrected bayesian; criterion; block models; bayesian information ... See more keywords
Estimation of the Number of Communities in the Stochastic Block Model
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2020.3016331
Abstract: In this article we introduce an estimator for the number of communities in the Stochastic Block Model (SBM), based on the maximization of a penalized version of the so-called Krichevsky-Trofimov mixture distribution. We prove its… read more here.
Keywords: communities stochastic; number; block model; estimation number ... See more keywords
Consistent estimation of the number of communities via regularized network embedding.
Sign Up to like & getrecommendations! Published in 2022 at "Biometrics"
DOI: 10.1111/biom.13815
Abstract: The network analysis plays an important role in numerous application domains including biomedicine. Estimation of the number of communities is a fundamental and critical issue in network analysis. Most existing studies assume that the number… read more here.
Keywords: network embedding; network; estimation number; number communities ... See more keywords
Estimating the Number of Communities in Weighted Networks
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DOI: 10.3390/e25040551
Abstract: Community detection in weighted networks has been a popular topic in recent years. However, while there exist several flexible methods for estimating communities in weighted networks, these methods usually assume that the number of communities… read more here.
Keywords: weighted networks; number; number communities; estimating number ... See more keywords