GMap: Visualizing Relations and Structures as Maps
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Information visualization is essential in making sense out of large data sets. Often, high-dimensional data are visualized as a collection of points in 2-dimensional space through dimensionality reduction techniques. However these traditional methods often do not capture well the underlying structural information, clustering, and neighborhoods. GMap is an algorithm that turns these information into geographic maps, which are intuitive to most people. In the following you will find maps illustrating relations between books, movies/TV shows, musics, and collaborative relations between authors. Joint work with Emden Gansner, Stephen Kobourov and Chris Volinsky.
Emden Gansner, Yifan Hu, Stephen Kobourov, GMap: Drawing Graphs as Map
Emden Gansner, Yifan Hu, Stephen Kobourov and Chris Volinsky, Putting Recommendations on the Map - Visualizing Clusters and Relations