Hierarchical clustering for graph visualization
  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. 
St\'ephan Cl\'emen\c{c}on (LTCI), Hector De Arazoza (MATCOM, LPP),   Fabrice Rossi (LTCI), Viet Chi Tran (LPP, CMAP)
stat.AP cs.SI physics.soc-ph