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The eigenvalues of stochastic blockmodel graphs

arXiv 1803.11551 ↗First posted 30 Mar 2018stat.ML cs.LGcited by 7

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Abstract (arXiv)

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"uredi and Koml'os on the fluctuation of the largest eigenvalue for ErdHos-R'enyi graphs.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 30 Mar 2018.

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Citing papers per year: 2021: 1; 2022: 3; 2023: 1; 2024: 0; 2025: 1; 2026: 1.

7 papers.