# Community detection in sparse latent space models

arXiv: https://arxiv.org/abs/2008.01375 · HTML: https://mlsanity.com/paper/2008.01375/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 4 Aug 2020.

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

- [Node Regression on Latent Position Random Graphs via Local Averaging](https://mlsanity.com/paper/2410.21987/) (2024)

## Abstract (arXiv)

We show that a simple community detection algorithm originated from stochastic blockmodel literature achieves consistency, and even optimality, for a broad and flexible class of sparse latent space models. The class of models includes latent eigenmodels (arXiv:0711.1146). The community detection algorithm is based on spectral clustering followed by local refinement via normalized edge counting.