Researchers create nodes that represent groups of entities rather than individual entities. The level of detail can vary according to the type of security data being used, firewall logs, traffic files, etc. This would give access to the whole of the model without having to load all its constituent information up-front. Sampling is another way to limit the size of the data set without losing sight of the big picture. Smart data visualization, combined with intelligent data mining, holds the key to better understanding and solving the complex problems security researchers face today.”]