The Sparse β-Model adds a global sparsity parameter to the β-model while allowing only a few node-specific parameters to be nonzero, giving consistent, asymptotically normal estimates for sparse networks and an ℓ0-penalized estimator computable by sorting degrees.
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Analysis of Networks via the Sparse $\beta$-Model
The Sparse β-Model adds a global sparsity parameter to the β-model while allowing only a few node-specific parameters to be nonzero, giving consistent, asymptotically normal estimates for sparse networks and an ℓ0-penalized estimator computable by sorting degrees.