Extending adjacency matrices to 3D with triangles
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2023
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| Subjects: | |
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| _version_ | 1866917702080135168 |
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| author | Pan, Rusheng Purchase, Helen C. Dwyer, Tim Chen, Wei |
| author_facet | Pan, Rusheng Purchase, Helen C. Dwyer, Tim Chen, Wei |
| contents | 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. A user study and usage scenarios 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2306_07588 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Extending adjacency matrices to 3D with triangles Pan, Rusheng Purchase, Helen C. Dwyer, Tim Chen, Wei Social and Information Networks Human-Computer Interaction 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. A user study and usage scenarios 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. |
| title | Extending adjacency matrices to 3D with triangles |
| topic | Social and Information Networks Human-Computer Interaction |
| url | https://arxiv.org/abs/2306.07588 |