From The Cover: Diffusion-based method for producing density-equalizing maps.

By Michael T. Gastner, Mark Newman. Proceedings of the National Academy of Sciences of the United States of America, 2004

659 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Small vulnerable sets determine large network cascades in power grids (2017, methodology): “(41) to equalize the density of nodes (Materials and Methods), and is limited to the U.”
Making machine learning models interpretable (2012, methodology): “In [33], a cartogram-based [34] method to reintroduce the local distortion into the low-dimensional data visualization provided by the batch-SOM algorithm is provided.”
Finding community structure in very large networks. (2004, background): “I. INTRODUCTION Many systems of current interest to the scientific community can usefully be represented as networks [1, 2, 3, 4].”
Understanding the Demographics of Twitter Users (2011, methodology): “Figure 2 presents this data, using both a normal representation and an area cartogram representation (Gastner and Newman 2004).”