Community detection via an efficient nonconvex optimization approach based on modularity

Network cross-validation by edge sampling

(2020) Tianxi Li et al.   BIOMETRIKA

Estimating Mixed Memberships with Sharp Eigenvector Deviations

(2020) Xueyu Mao et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

On semidefinite relaxations for the block model

(2018) Arash A. Amini et al.   ANNALS OF STATISTICS

Convexified modularity maximization for degree-corrected stochastic block models

(2018) Yudong Chen et al.   ANNALS OF STATISTICS

Consistency of spectral clustering in stochastic block models

(2015) Jing Lei et al.   ANNALS OF STATISTICS

Pseudo-likelihood methods for community detection in large sparse networks

(2013) Arash A. Amini et al.   ANNALS OF STATISTICS

Likelihood-Based Selection and Sharp Parameter Estimation

(2012) Xiaotong Shen et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Efficient and principled method for detecting communities in networks

(2011) Brian Ball et al.   PHYSICAL REVIEW E

Stochastic blockmodels and community structure in networks

(2011) Brian Karrer et al.   PHYSICAL REVIEW E

Network medicine: a network-based approach to human disease

(2010) Albert-László Barabási et al.   NATURE REVIEWS GENETICS

Community detection in graphs

(2009) Santo Fortunato   PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS