# Latent Position Network Models

arXiv: https://arxiv.org/abs/2304.02979 · HTML: https://mlsanity.com/paper/2304.02979/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 Apr 2023.

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

- [Gaussian Embedding of Temporal Networks](https://mlsanity.com/paper/2405.17253/) (2024)

## Abstract (arXiv)

In this chapter, we present a review of latent position models for networks. We review the recent literature in this area and illustrate the basic aspects and properties of this modeling framework. Through several illustrative examples we highlight how the latent position model is able to capture important features of observed networks. We emphasize how the canonical design of this model has made it popular thanks to its ability to provide interpretable visualizations of complex network interactions. We outline the main extensions that have been introduced to this model, illustrating its flexibility and applicability.