Introduction of graph metrics

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.

Graph level metrics in visualization sidebar
Node level metrics in visualization info pane

Map level metrics

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

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.