LIPIcs.GD.2024.46.pdf
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AdMaTilE: Visualizing Event-Based Adjacency Matrices in a Multiple-Coordinated-Views System (Poster Abstract)
Authors
Nikolaus-Mathias Herl 
,
Velitchko Filipov
-
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Volume:
32nd International Symposium on Graph Drawing and Network Visualization (GD 2024)
Series: Leibniz International Proceedings in Informatics (LIPIcs)
Conference: Graph Drawing and Network Visualization (GD) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2024-10-28
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Acknowledgements
This work was supported by the FWF SANE project [10.55776/I6635].
Cite As Get BibTex
Nikolaus-Mathias Herl and Velitchko Filipov. AdMaTilE: Visualizing Event-Based Adjacency Matrices in a Multiple-Coordinated-Views System (Poster Abstract). In 32nd International Symposium on Graph Drawing and Network Visualization (GD 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 320, pp. 46:1-46:3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
https://doi.org/10.4230/LIPIcs.GD.2024.46
Abstract
Conventional dynamic networks represent network changes via a discrete sequence of timeslices, which usually entails loss of information on fine-grained dynamics. Recently, event-based networks emerged as an approach to model this temporal (event-based) information more precisely. Adjacency-matrix-based visualizations of temporal networks are under-investigated in related literature and present a promising research direction for network visualization. Our approach AdMaTilE (Adjacency Matrix and Timeline Explorer) is designed to visualize event-based networks using multiple matrix views, timelines, difference maps, and staged transitions.
Subject Classification
ACM Subject Classification
- Human-centered computing → Graph drawings
- Human-centered computing → Visual analytics
Keywords
- Event-based
- Temporal Graphs
- Adjacency Matrix
- Network Visualization
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References
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