Graph-typed data is ubiquitous, from logistical or transportation networks, through social or correspondence networks, all the way to more abstract biochemical interaction networks. Each such application domain brings with it unique analytical goals, metadata, canonical representations, as well as types of vertices and edges. Routine, automated analyses of such data, while important, can often not fully support the kind of decision-making or data exploration necessary for more complex and/or larger networks. Here, it is through (interactive) visualization that we can support domain experts in their exploratory and (semi-) confirmatory research endeavors. On the one hand, we can build custom, tailor-made interactive, visual dashboards which directly address the needs and support the analysis of our domain expert collaborators. On the other, we can look at more foundational questions about how to best represent graph-typed data or better understand the factors which negatively/positively affect comprehension.
Publications
Image | Bib Reference | Publication Type |
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2025 | ||
Henry Ehlers An introduction to and survey of biological network visualization COMPUTERS & GRAPHICS-UK, 126, February 2025. |
Journal Paper (without talk) | |
2024 | ||
Henry Ehlers Me! Me! Me! Me! A study and comparison of ego network representations COMPUTERS & GRAPHICS-UK, 125:1-15, December 2024. [ ![]() |
Journal Paper (without talk) | |
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Sebastian Klaus Multidimensional Clustering for Machine Data Analysis [ ![]() ![]() |
Bachelor Thesis |
Henry Ehlers Visualizing Group Structure in Compound Graphs: The Current State, Lessons Learned, and Outstanding Opportunities In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1, HUCAPP and IVAPP, pages 697-708. March 2024. |
Conference Paper | |
2023 | ||
Henry Ehlers Improving readability of static, straight-line graph drawings: A first look at edge crossing resolution through iterative vertex splitting COMPUTERS & GRAPHICS-UK, 116:448-463, November 2023. |
Journal Paper (without talk) | |
2021 | ||
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Johannes Sorger, Alessio Arleo, Peter Kán, Wolfgang Knecht, Manuela Waldner Egocentric Network Exploration for Immersive Analytics Computer Graphics Forum, 40:241-252, October 2021. [ ![]() ![]() |
Journal Paper with Conference Talk |
2020 | ||
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Manuela Waldner Interactive exploration of large time-dependent bipartite graphs Journal of Computer Languages, 57, April 2020. [paper] |
Journal Paper (without talk) |
2019 | ||
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Johannes Sorger, Manuela Waldner Immersive Analytics of Large Dynamic Networks via Overview and Detail Navigation In 2nd International Conference on Artificial Intelligence & Virtual Reality, pages 144-151. December 2019. [ ![]() |
Conference Paper |
2018 | ||
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Daniel Steinböck, Eduard Gröller Casual Visual Exploration of Large Bipartite Graphs Using Hierarchical Aggregation and Filtering In International Symposium on Big Data Visual and Immersive Analytics. October 2018. [ ![]() |
Conference Paper |
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Michael Mazurek, Manuela Waldner Visualizing Expanded Query Results Computer Graphics Forum:87-98, June 2018. [ ![]() ![]() |
Journal Paper with Conference Talk |
2014 | ||
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Manuela Waldner Graphical Histories of Information Foraging In Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational , pages 295-304. October 2014. [ ![]() |
Conference Paper |