Using Community Structure for Complex Network Layout

We present a new layout algorithm for complex networks that combines a multi-scale approach for community detection with a standard forcedirected design. Since community detection is computationally cheap, we can exploit the multi-scale approach to generate network configurations with close-to-minimal energy very fast. As a further asset, we can use the knowledge of the community structure to facilitate the interpretation of large networks, for example the network defined by protein-protein interactions.