Community structure is one of the most relevant features encountered in numerous real-
world applications of networked systems. Despite the tremendous effort of a large …

Pseudo-likelihood methods for community detection in large sparse networks Page 1 The
Annals of Statistics 2013, Vol. 41, No. 4, 2097–2122 DOI: 10.1214/13-AOS1138 © Institute of …

Consistency of community detection in networks under degree-corrected stochastic block
models Page 1 The Annals of Statistics 2012, Vol. 40, No. 4, 2266–2292 DOI: 10.1214/12-AOS1036 …

Supplementary material for “Fast communication detetion by SCORE”. Owing to space
constraints, the technical proofs are relegated a supplementary document. The …

Stochastic blockmodels and variants thereof are among the most widely used approaches to
community detection for social networks and relational data. A stochastic blockmodel …

Networks are often characterized by node heterogeneity for which nodes exhibit different
degrees of interaction and link homophily for which nodes sharing common features tend to …

The proliferation of models for networks raises challenging problems of model selection: the
data are sparse and globally dependent, and models are typically high-dimensional and …

Supplement to “Maximum lilkelihood estimation in the β-model”. In the supplementary
material we extend our analysis to other models for network data: the Rasch model, the β …

In a globalized economy, production of goods can be disrupted by trade disputes. Yet the
resulting impacts on carbon dioxide emissions and ambient particulate matter (PM2. 5) …

Inference using noisy degrees: Differentially private beta-model and synthetic graphs Page 1
The Annals of Statistics 2016, Vol. 44, No. 1, 87–112 DOI: 10.1214/15-AOS1358 © Institute of …