English

The eigenvalues of stochastic blockmodel graphs

Machine Learning 2018-04-02 v1 Machine Learning

Abstract

We derive the limiting distribution for the largest eigenvalues of the adjacency matrix for a stochastic blockmodel graph when the number of vertices tends to infinity. We show that, in the limit, these eigenvalues are jointly multivariate normal with bounded covariances. Our result extends the classic result of F\"{u}redi and Koml\'{o}s on the fluctuation of the largest eigenvalue for Erd\H{o}s-R\'{e}nyi graphs.

Cite

@article{arxiv.1803.11551,
  title  = {The eigenvalues of stochastic blockmodel graphs},
  author = {Minh Tang},
  journal= {arXiv preprint arXiv:1803.11551},
  year   = {2018}
}

Comments

13 pages, 2 figures

R2 v1 2026-06-23T01:10:01.340Z