Hierarchical clustering for graph visualization
Stéphan Clémençon, Héctor de Arazoza, Fabrice Rossi, Viet Chi Tran · arXiv (Cornell University) · 2012
This paper describes a graph visualization methodology based on hierarchical maximal modularity clustering, with interactive and significant coarsening and refining possibilities. An application of this method to HIV epidemic analysis in Cuba is outlined.