Overlapping community detection in networks via sparse spectral decomposition

  title={Overlapping community detection in networks via sparse spectral decomposition},
  author={Jes{\'u}s Arroyo and Elizaveta Levina},
We consider the problem of estimating overlapping community memberships in a network, where each node can belong to multiple communities. More than a few communities per node are difficult to both estimate and interpret, so we focus on sparse node membership vectors. Our algorithm is based on sparse principal subspace estimation with iterative thresholding. The method is computationally efficient, with a computational cost equivalent to estimating the leading eigenvectors of the adjacency… Expand

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