Untangling Force-Directed Layouts Using Persistent Homology
August 14, 2022 Β· Declared Dead Β· π 2022 Topological Data Analysis and Visualization (TopoInVis)
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Authors
Bhavana Doppalapudi, Bei Wang, Paul Rosen
arXiv ID
2208.06927
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CG,
cs.SI
Citations
3
Venue
2022 Topological Data Analysis and Visualization (TopoInVis)
Last Checked
4 months ago
Abstract
Force-directed layouts belong to a popular class of methods used to position nodes in a node-link diagram. However, they typically lack direct consideration of global structures, which can result in visual clutter and the overlap of unrelated structures. In this paper, we use the principles of persistent homology to untangle force-directed layouts thus mitigating these issues. First, we devise a new method to use 0-dimensional persistent homology to efficiently generate an initial graph layout. The approach results in faster convergence and better quality graph layouts. Second, we provide a new definition and an efficient algorithm for 1-dimensional persistent homology features (i.e., tunnels/cycles) on graphs. We provide users the ability to interact with the 1-dimensional features by highlighting them and adding cycle-emphasizing forces to the layout. Finally, we evaluate our approach with 32 synthetic and real-world graphs by computing various metrics, e.g., co-ranking, edge crossing, etc., to demonstrate the efficacy of our proposed method.
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