  Many data sets, crucial for today's applications, consist essentially of
enormous networks, containing millions or even billions of elements. Having the
possibility of visualizing such networks is of paramount importance. We propose
an algorithmic framework and a visual metaphor, dubbed treebar map, to provide
schematic representations of huge networks. Our goal is to convey the main
features of the network's inner structure in a straightforward,
two-dimensional, one-page drawing. This drawing effectively captures the
essential quantitative information about the network's main components. Our
experiments show that we are able to create such representations in a few
hundreds of seconds. We demonstrate the metaphor's efficacy through visual
examination of extensive graphs, highlighting how their diverse structures are
instantly comprehensible via their representations.
