The hierarchical edge bundle method clusters the edges of a radial layout to better understand and analyze graphs, but its effectiveness relies critically on the quality of the hierarchical organization of its nodes and edges. This paper proposes a
novel graph visualization approach that extracts the community structure of a network and organizes it into a more balanced and meaningful hierarchy so that its edge bundle rendering better indicates its structure. Results on several data sets demonstrate that this approach clarifies real-world communication, collaboration and competition network structure and reveals information missed in previous visualizations.
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