Chemical space networks (CSN) provide an alternative representation that is not afflicted by the Curse of Dimensionality . This combined with the availability of efficient algorithmic methods for characterizing the properties of very large networks, such as the Internet, make CSNs the preferred means for representing very large chemical spaces. Although it is difficult to perceive relationships visually in very large chemical spaces represented by CSNs, the important point here is that the structure of network data facilitates its analysis.