Graph analytics can be viewed in Rhumbl in two places: on a per-node level in the Info Pane, and on a map level in the Info Sidebar.

Map level metrics are metrics that give a bird's eye view of the big picture. For instance, *graph density* is a common map-level metric that tells you how dense a graph is in terms of edges.

You may be already familiar with the way many of these metrics are calculated in typical graph analysis. But here, we have to be a bit more careful because Rhumbl supports *multiple* types of relationships **and** graphs that have both directed **and** undirected relationships. Therefore, Rhumbl calculates your map level metrics as an average across all types of edges.

One of the most common questions we get is: **how do my metrics compare to the average?** The answer to that is entirely dependent on the application — a network on protein-protein interactions is going to have dramatically different metrics than a network on product features.

Node level metrics are specific to each node, and can be seen by clicking on a node.

Our glossary of graph metric terms gives details on each term.