Consistent Adjacency-Spectral Partitioning for the Stochastic Block Model When the Model Parameters Are Unknown
Work
Year: 2013
Type: article
Abstract: For random graphs distributed according to a stochastic block model, we consider the inferential task of partitioning vertices into blocks using spectral techniques. Spectral partitioning using the no... more
Institution Johns Hopkins University
Cites: 26
Cited by: 100
Related to: 10
FWCI: 8.15
Citation percentile (by year/subfield): 99.99
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Sustainable Development Goal Peace, justice, and strong institutions
Open Access status: green