# Spectra of random networks with arbitrary degrees

arXiv: https://arxiv.org/abs/1901.02029 · HTML: https://mlsanity.com/paper/1901.02029/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 7 Jan 2019.

## Built on by (most cited first, 1 of 1)

- [Graph energy as a measure of community detectability in networks](https://mlsanity.com/paper/2601.05065/) (2026)

## Abstract (arXiv)

We derive a message passing method for computing the spectra of locally tree-like networks and an approximation to it that allows us to compute closed-form expressions or fast numerical approximates for the spectral density of random graphs with arbitrary node degrees -- the so-called configuration model. We find the latter approximation to work well for all but the sparsest of networks. We also derive bounds on the position of the band edges of the spectrum, which are important for identifying structural phase transitions in networks.