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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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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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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.

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

Author Details

Nikolaus-Mathias Herl
  • TU Wien, Austria
Velitchko Filipov
  • TU Wien, Austria

Acknowledgements

This work was supported by the FWF SANE project [10.55776/I6635].

Supplementary Materials

References

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