Extending Adjacency Matrices to 3D with Triangles

Social networks are the fabric of society and the subject of frequent visual analysis. Closed triads represent triangular relationships between three people in a social network and are significant for understanding inherent interconnections and influence within the network. The most common methods f...

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Bibliographic Details
Published inIEEE Pacific Visualization Symposium pp. 232 - 241
Main Authors Pan, Rusheng, Purchase, Helen C., Dwyer, Tim, Chen, Wei
Format Conference Proceeding
LanguageEnglish
Published IEEE 23.04.2024
Subjects
Clustering algorithms
Focusing
Graph drawings
Heuristic algorithms
Human-centered computing
Interactive systems
Social networking (online)
Three-dimensional displays
Visual analytics
Visualization
Visualization application domains
Visualization techniques
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Summary:Social networks are the fabric of society and the subject of frequent visual analysis. Closed triads represent triangular relationships between three people in a social network and are significant for understanding inherent interconnections and influence within the network. The most common methods for representing social networks (node-link diagrams and adjacency matrices) are not optimal for understanding triangles. We propose extending the adjacency matrix form to 3D for better visualization of network triads. We design a 3D matrix reordering technique and implement an immersive interactive system to assist in visualizing and analyzing closed triads in social networks. The evaluations demonstrate that our method provides substantial added value over node-link diagrams in improving the efficiency and accuracy of manipulating and understanding the social network triads.
ISSN:2165-8773
DOI:10.1109/PacificVis60374.2024.00033