Hypergraph data analysis with PAOHVis

Many data analysis activities exploit graphs to model complex relationships among data. Very often such relationships are better described using hypergraphs, whose edges can connect more than two nodes. Hypergraphs are suitable to model networks of business partners or co-authorship networks with multiple authors per article. This paper is about a technique that visualizes dynamic hypergraphs called PAOH (Parallel Aggregated ordered Hypergraph). It represents vertices as parallel horizontal bars and hyperedges as parallel vertical lines and shows the evolution of hypergraphs representing them in discrete Time Slots. PAOH is described in details in an article published in 2021 in IEEE Transaction on Visualization and Computer Graphics. It has been applied in several domains, such as ego-networks, co-authorship, as well as digital humanities, it is well-suited for medium-sized hypergraphs (50-500 vertices). PAOHVis is a tool, available online, that implements this technique. In this paper we briefly describe the tool and show the application of PAOH to the soccer domain, to support the analysis of players’ contributions to the goals of a team.