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Engineering Linear Ordering Algorithms for Optimizing Data Visualizations (Research Project)

Funding Organisation: Vienna Science and Technology Fund, WWTF
Project Number: ICT19-035
Duration: 07/2020 - 06/2024

Project Team

Alexander Dobler (Doctoral Student)
Markus Wallinger (Doctoral Student)
Jules Wulms (Postdoc)
Martin Nöllenburg (Professor, Principal Investigator)

Topic

Optimizing linear orderings of objects is a fundamental problem for many types of data visualizations ranging from graph layouts over geospatial data to abstract sets and sequences or time-series data. Yet a systematic investigation of algorithms for solving novel constrained and application-specific ordering problems that go beyond well-studied and NP-hard classic ordering problems is missing. Practical work in visualization often resorts to heuristics without rigorous performance and quality guarantees for solving these algorithmic problems. In this project we will take an algorithmic perspective on several different ordering problems in data visualization. In the algorithm engineering sense we want to cross the gap between fundamental theory and practical applications and aim to bring the benefit of rigorous formal methods into practically relevant implementations and at the same time define new algorithmic challenges inspired by recent visualization problems. On the one hand, we will investigate the complexity of new problem settings with special input configurations, structural constraints on feasible orderings, and dependencies between multiple objects and orderings. On the other hand, we will design and implement new and sufficiently scalable algorithms with formally proven performance guarantees to compute optimal and approximate solutions. We thoroughly evaluate the improvements over existing state-of-the-art heuristics in computational experiments and user studies.

Publications

3 results
2022
[3]Edge-Path Bundling: A Less Ambiguous Edge Bundling Approach
Markus Wallinger, Daniel Archambault, David Auber, Martin Nöllenburg, Jaakko Peltonen
IEEE Trans. Visualization and Computer Graphics, volume 28, number 1, pages 313–323, 2022.
[bibtex] [doi]
2021
[2]On the Readability of Abstract Set Visualizations
Markus Wallinger, Ben Jacobsen, Stephen Kobourov, Martin Nöllenburg
IEEE Trans. Visualization and Computer Graphics, volume 27, number 6, pages 2821–2832, 2021.
[bibtex] [doi]
[1]MetroSets: Visualizing Sets as Metro Maps
Ben Jacobsen, Markus Wallinger, Stephen Kobourov, Martin Nöllenburg
IEEE Trans. Visualization and Computer Graphics, volume 27, number 2, pages 1257–1267, 2021.
[bibtex] [pdf] [doi]

News

  • Best paper award at EvoCOP 2022

    Best paper award at EvoCOP 2022

    2022-05-24
    Jonas Mayerhofer, Markus Kirchweger, Marc Huber, and Günther Raidl received the best paper award for their work A Beam Search …Read More »
  • New PhD: Guangping Li

    New PhD: Guangping Li

    2022-05-13
    Guangping Li successfully defended her PhD thesis “An Algorithmic Study of Practical Map Labeling” on May 13, 2022. Congratulations, Dr. …Read More »
  • Outstanding results for TU Wien students at the 2021 Graph Drawing Contest

    Outstanding results for TU Wien students at the 2021 Graph Drawing Contest

    2021-09-24
    The 28th Annual Graph Drawing Contest, a long running tradition of the graph drawing research community, was held in conjunction …Read More »
  • Jan Dreier receives a LICS’21 Distinguished Paper Award

    Jan Dreier receives a LICS’21 Distinguished Paper Award

    2021-07-02
    Congratulations to Jan Dreier for his LICS 2021 Distinguished Paper Award for his paper Lacon- and Shrub-Decompositions: A New Characterization …Read More »
  • Lecture at Austrian Parliament

    Lecture at Austrian Parliament

    2021-06-16
    Stefan Szeider and Martin Kronegger gave a lecture on Algorithms and Programming to members of the Austrian Parliament. The lecture …Read More »

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