This paper contains a short introduction to the use of the LaNet-vi
visualization tool for the analysis of large sparse networks.
LaNet-vi is based on the

-core decomposition, whose
characteristics are summarized in this paper along with the main
features of the developed algorithm and layout. We elucidate the
relation among the layout's features and the graph topological
properties. Finally we show how LaNet-vi's visualizations can be
used to exploit the network organizational features: hierarchical
relationships, shells interconnectivity or nodes clustering provide
global structural information at a glance, yielding a rapid
method for graphs fingerprinting.