Network Visualization:
A network is composed of many connected components which are a subset of nodes that are all connected via edges. A connected component is such that there exists a path from one node to every other node within the component for any node in the component.

The network statistics box displays information about all of the components, nodes, and edges in the network, while the component statistics box displays just the node and edge information for the currently viewed connected component. Super-imposing datasets onto the network will color the nodes differently depending on whether or not the super-imposed datasets overlap with the regions of the nodes. If more than one annotation exists, nodes will display all of the colors in a "pie-chart" visualization.

Viewing Node Information:
Right clicking or double tapping a node will display more information about that node including the number of PETs and Interactions overlapping to define the node, the region the node occupies, any associated diseases or SNPs and network measures calculated on the node. There are also various links provided as a convenience to further analyze the node of interest.

Above provides a brief description of the different network measures provided when viewing more information about a node.

Network Measure Boxplots:
For each network measure calculated a boxplot can be viewed in the network measures tab. The boxplot provides a way of briefly analyzing whether certain annotations exhibit certain typs of topologies in the network. In the above example, promoters of genes are showing to have a slight higher degree.