CHORDination: Evaluating Visual Design Choices in Chord Diagrams for Network Data
Kai Wang (1), Shuqi He (1), Wenlu Wang (1), Jinbei Yu (1), Yu Liu (1), and Lingyun Yu (1) ((1) Xi'an Jiaotong-Liverpool University)

TL;DR
This study systematically evaluates how fundamental design choices in chord diagrams affect user perception and information retrieval, providing evidence-based guidelines for optimizing network data visualizations.
Contribution
It identifies the impact of node width, quantity, tick marks, and color gradients on user performance and subjective experience, filling a gap in understanding design effects in chord diagrams.
Findings
Node width and quantity significantly influence information retrieval.
Tick marks mainly affect subjective user experience.
Design recommendations improve chord diagram effectiveness.
Abstract
Chord diagrams are widely used for visualizing data connectivity and flow between nodes in a network. They are effective for representing complex structures through an intuitive and visually appealing circular layout. While previous work has focused on improving aesthetics and interactivity, the influence of fundamental design elements on user perception and information retrieval remains under-explored. In this study, we explored the three primary components of chord diagram anatomy, namely the nodes, circular outline, and arc connections, in three sequential experiment phases. In phase one, we conducted a controlled experiment (N=90) to find the perceptually and information optimized node widths (narrow, medium, wide) and quantities (low, medium, high). This optimal set of node width and quantity sets the foundation for subsequent evaluations and were kept fixed for consistency. In…
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Taxonomy
TopicsData Visualization and Analytics · Semantic Web and Ontologies
