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AmbiguityVis: Visualization of Ambiguity in Graph Layouts / Yong Wang; Qiaomu Shen; Daniel Archambault; Zhiguang Zhou; Min Zhu; Sixiao Yang; Huamin Qu

IEEE Transactions on Visualization and Computer Graphics (InfoVis 2015), Volume: 22, Issue: 1, Pages: 359 - 368

Swansea University Author: Daniel, Archambault

DOI (Published version): 10.1109/TVCG.2015.2467691

Abstract

Node-link diagrams provide an intuitive way to explore networks and have inspired a large number of automated graphlayout strategies that optimize aesthetic criteria. However, any particular drawing approach cannot fully satisfy all these criteriasimultaneously, producing drawings with visual ambigu...

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Published in: IEEE Transactions on Visualization and Computer Graphics (InfoVis 2015)
Published: 2016
URI: https://cronfa.swan.ac.uk/Record/cronfa23061
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Abstract: Node-link diagrams provide an intuitive way to explore networks and have inspired a large number of automated graphlayout strategies that optimize aesthetic criteria. However, any particular drawing approach cannot fully satisfy all these criteriasimultaneously, producing drawings with visual ambiguities that can impede the understanding of network structure. To bring attentionto these potentially problematic areas present in the drawing, this paper presents a technique that highlights common types of visualambiguities: ambiguous spatial relationships between nodes and edges, visual overlap between community structures, and ambiguityin edge bundling and metanodes. Metrics, including newly proposed metrics for abnormal edge lengths, visual overlap in communitystructures and node/edge aggregation, are proposed to quantify areas of ambiguity in the drawing. These metrics and others arethen displayed using a heatmap-based visualization that provides visual feedback to developers of graph drawing and visualizationapproaches, allowing them to quickly identify misleading areas. The novel metrics and the heatmap-based visualization allow a userto explore ambiguities in graph layouts from multiple perspectives in order to make reasonable graph layout choices. The effectivenessof the technique is demonstrated through case studies and expert reviews.
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College: College of Science
Issue: 1
Start Page: 359
End Page: 368