  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.
