title: Visualizing graphs and clusters as maps.
abstract: Information visualization is essential in making sense of large datasets. Often, high-dimensional data are visualized as a collection of points in 2D space through dimensionality reduction techniques. However, these traditional methods often don't capture the underlying structural information, clustering, and neighborhoods well. GMap is a practical algorithmic framework for visualizing relational data with geographic-like maps. This approach is effective in various domains.
authors.forename: Emden R
authors.initials: ER
authors.lastname: Gansner
authors.lastname: Yifan Hu
authors.forename: Stephen G
authors.initials: SG
authors.lastname: Kobourov