Visual Analysis of Network Centralities (Hong/Xu)
Centrality is the most significant concept for such networks; it identifies the most important node in the network. For example, in biological networks such as protein-protein interaction networks, one can identify the most essential protein. In social networks such as the Hollywood movie actor collaboration network, one can identify the most prominent actor.
A particularly important task is the comparison of different centrality measures within one network. We design three new methods for the exploration and comparison of centrality measures within a network:
3D parallel coordinates:
nodes are placed on vertical lines
Orbit-based comparison: nodes are placed on concentric circles
Hierarchy-based comparison: nodes are placed on horizontal lines
For each centrality measure, the graph is copied and drawn on a separate 2D plane with node position dependent on centrality. These planes are then stacked into the third dimension so that the different centrality measures may be easily compared.
These methods are implemented as a part of GEOMI, a visual analytic tool being developed by the VALACON project.