Search Results

Documents authored by Klein, Karsten

Document
DOI: 10.4230/LIPIcs.GD.2025.11
Towards a Better Understanding of Graph Perception in Immersive Environments

Authors: Lin Zhang, Yao Wang, Ying Zhang, Wilhelm Kerle-Malcharek, Karsten Klein, Falk Schreiber, and Andreas Bulling

Published in: LIPIcs, Volume 357, 33rd International Symposium on Graph Drawing and Network Visualization (GD 2025)

Abstract
As Immersive Analytics (IA) increasingly uses Virtual Reality (VR) for stereoscopic 3D (S3D) graph visualisation, it is crucial to understand how users perceive network structures in these immersive environments. However, little is known about how humans read S3D graphs during task solving, and how gaze behaviour indicates task performance. To address this gap, we report a user study with 18 participants asked to perform three analytical tasks on S3D graph visualisations in a VR environment. Our findings reveal systematic relationships between network structural properties and gaze behaviour. Based on these insights, we contribute a comprehensive eye tracking methodology for analysing human perception in immersive environments and establish eye tracking as a valuable tool for objectively evaluating cognitive load in S3D graph visualisation.
Cite as

Lin Zhang, Yao Wang, Ying Zhang, Wilhelm Kerle-Malcharek, Karsten Klein, Falk Schreiber, and Andreas Bulling. Towards a Better Understanding of Graph Perception in Immersive Environments. In 33rd International Symposium on Graph Drawing and Network Visualization (GD 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 357, pp. 11:1-11:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{zhang_et_al:LIPIcs.GD.2025.11,
  author =	{Zhang, Lin and Wang, Yao and Zhang, Ying and Kerle-Malcharek, Wilhelm and Klein, Karsten and Schreiber, Falk and Bulling, Andreas},
  title =	{{Towards a Better Understanding of Graph Perception in Immersive Environments}},
  booktitle =	{33rd International Symposium on Graph Drawing and Network Visualization (GD 2025)},
  pages =	{11:1--11:19},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-403-1},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{357},
  editor =	{Dujmovi\'{c}, Vida and Montecchiani, Fabrizio},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GD.2025.11},
  URN =		{urn:nbn:de:0030-drops-249976},
  doi =		{10.4230/LIPIcs.GD.2025.11},
  annote =	{Keywords: Stereoscopic 3D, Graph Visualisation, Eye Tracking, Graph Perception}
}
Document
DOI: 10.4230/LIPIcs.GD.2025.37
Show Me Your Best Side: Characteristics of User-Preferred Perspectives for 3D Graph Drawings

Authors: Lucas Joos, Gavin J. Mooney, Maximilian T. Fischer, Daniel A. Keim, Falk Schreiber, Helen C. Purchase, and Karsten Klein

Published in: LIPIcs, Volume 357, 33rd International Symposium on Graph Drawing and Network Visualization (GD 2025)

Abstract
The visual analysis of graphs in 3D has become increasingly popular, accelerated by the rise of immersive technology, such as augmented and virtual reality. Unlike 2D drawings, 3D graph layouts are highly viewpoint-dependent, making perspective selection critical for revealing structural and relational patterns. Despite its importance, there is limited empirical evidence guiding what constitutes an effective or preferred viewpoint from the user’s perspective. In this paper, we present a systematic investigation into user-preferred viewpoints in 3D graph visualisations. We conducted a controlled study with 23 participants in a virtual reality environment, where users selected their most and least preferred viewpoints for 36 different graphs varying in size and layout. From this data, enriched by qualitative feedback, we distil common strategies underlying viewpoint choice. We further analyse the alignment of user preferences with classical 2D aesthetic criteria (e.g., Crossings), 3D-specific measures (e.g., Node-Node Occlusion), and introduce a novel measure capturing the perceivability of a graph’s principal axes (Isometric Viewpoint Deviation). Our data-driven analysis indicates that Stress, Crossings, Gabriel Ratio, Edge-Node Overlap, and Isometric Viewpoint Deviation are key indicators of viewpoint preference. Beyond our findings, we contribute a publicly available dataset consisting of the graphs and computed aesthetic measures, supporting further research and the development of viewpoint evaluation measures for 3D graph drawing.
Cite as

Lucas Joos, Gavin J. Mooney, Maximilian T. Fischer, Daniel A. Keim, Falk Schreiber, Helen C. Purchase, and Karsten Klein. Show Me Your Best Side: Characteristics of User-Preferred Perspectives for 3D Graph Drawings. In 33rd International Symposium on Graph Drawing and Network Visualization (GD 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 357, pp. 37:1-37:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{joos_et_al:LIPIcs.GD.2025.37,
  author =	{Joos, Lucas and Mooney, Gavin J. and Fischer, Maximilian T. and Keim, Daniel A. and Schreiber, Falk and Purchase, Helen C. and Klein, Karsten},
  title =	{{Show Me Your Best Side: Characteristics of User-Preferred Perspectives for 3D Graph Drawings}},
  booktitle =	{33rd International Symposium on Graph Drawing and Network Visualization (GD 2025)},
  pages =	{37:1--37:19},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-403-1},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{357},
  editor =	{Dujmovi\'{c}, Vida and Montecchiani, Fabrizio},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GD.2025.37},
  URN =		{urn:nbn:de:0030-drops-250236},
  doi =		{10.4230/LIPIcs.GD.2025.37},
  annote =	{Keywords: Graph Aesthetics, Immersive 3D, Node-Link Diagrams, Empirical Evaluation}
}
Document
Poster Abstract
DOI: 10.4230/LIPIcs.GD.2025.52
Investigating Crossing Perception in 3D Graph Visualisation (Poster Abstract)

Authors: Ying Zhang, Niklas Gröne, Giuseppe Liotta, Falk Schreiber, and Karsten Klein

Published in: LIPIcs, Volume 357, 33rd International Symposium on Graph Drawing and Network Visualization (GD 2025)

Abstract
Human perception and understanding of graph drawings is influenced by a variety of impact factors for which quality measures such as the number of crossings are used as a proxy indicator. For the more and more common stereoscopic 3D (S3D) graph visualisations, evidence is required to better understand graph perception and its relation to quality measures. We investigate the perception of crossing configurations in S3D graph visualisations and present the results of a study.
Cite as

Ying Zhang, Niklas Gröne, Giuseppe Liotta, Falk Schreiber, and Karsten Klein. Investigating Crossing Perception in 3D Graph Visualisation (Poster Abstract). In 33rd International Symposium on Graph Drawing and Network Visualization (GD 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 357, pp. 52:1-52:5, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{zhang_et_al:LIPIcs.GD.2025.52,
  author =	{Zhang, Ying and Gr\"{o}ne, Niklas and Liotta, Giuseppe and Schreiber, Falk and Klein, Karsten},
  title =	{{Investigating Crossing Perception in 3D Graph Visualisation}},
  booktitle =	{33rd International Symposium on Graph Drawing and Network Visualization (GD 2025)},
  pages =	{52:1--52:5},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-403-1},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{357},
  editor =	{Dujmovi\'{c}, Vida and Montecchiani, Fabrizio},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GD.2025.52},
  URN =		{urn:nbn:de:0030-drops-250381},
  doi =		{10.4230/LIPIcs.GD.2025.52},
  annote =	{Keywords: Graph Perception, Stereoscopic 3D Graph Visualisation, Crossing Configurations}
}
Document
Poster Abstract
DOI: 10.4230/LIPIcs.GD.2025.53
Edge Bundling as a Multi-Objective Optimization Problem (Poster Abstract)

Authors: Raissa dos Santos Vieira, Hugo A. D. do Nascimento, Joelma de Moura Ferreira, Les Foulds, Karsten Klein, and Falk Schreiber

Published in: LIPIcs, Volume 357, 33rd International Symposium on Graph Drawing and Network Visualization (GD 2025)

Abstract
Edge bundling is a technique commonly used to reduce visual clutter and improve the comprehension of the drawings of large graphs. Here, we model edge bundling as a multi-objective optimization problem and employ clustering strategies, metaheuristic and Pareto analysis to identify non-dominated solutions for some classical graphs from the literature.
Cite as

Raissa dos Santos Vieira, Hugo A. D. do Nascimento, Joelma de Moura Ferreira, Les Foulds, Karsten Klein, and Falk Schreiber. Edge Bundling as a Multi-Objective Optimization Problem (Poster Abstract). In 33rd International Symposium on Graph Drawing and Network Visualization (GD 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 357, pp. 53:1-53:5, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{vieira_et_al:LIPIcs.GD.2025.53,
  author =	{Vieira, Raissa dos Santos and Nascimento, Hugo A. D. do and Ferreira, Joelma de Moura and Foulds, Les and Klein, Karsten and Schreiber, Falk},
  title =	{{Edge Bundling as a Multi-Objective Optimization Problem}},
  booktitle =	{33rd International Symposium on Graph Drawing and Network Visualization (GD 2025)},
  pages =	{53:1--53:5},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-403-1},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{357},
  editor =	{Dujmovi\'{c}, Vida and Montecchiani, Fabrizio},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GD.2025.53},
  URN =		{urn:nbn:de:0030-drops-250397},
  doi =		{10.4230/LIPIcs.GD.2025.53},
  annote =	{Keywords: Graph Drawing, Edge Bundling, Visual Clutter, Multi-objective Optimization}
}
Document
Complete Volume
DOI: 10.4230/LIPIcs.GD.2024
LIPIcs, Volume 320, GD 2024, Complete Volume

Authors: Stefan Felsner and Karsten Klein

Published in: LIPIcs, Volume 320, 32nd International Symposium on Graph Drawing and Network Visualization (GD 2024)

Abstract
LIPIcs, Volume 320, GD 2024, Complete Volume
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32nd International Symposium on Graph Drawing and Network Visualization (GD 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 320, pp. 1-754, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@Proceedings{felsner_et_al:LIPIcs.GD.2024,
  title =	{{LIPIcs, Volume 320, GD 2024, Complete Volume}},
  booktitle =	{32nd International Symposium on Graph Drawing and Network Visualization (GD 2024)},
  pages =	{1--754},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-343-0},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{320},
  editor =	{Felsner, Stefan and Klein, Karsten},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GD.2024},
  URN =		{urn:nbn:de:0030-drops-220891},
  doi =		{10.4230/LIPIcs.GD.2024},
  annote =	{Keywords: LIPIcs, Volume 320, GD 2024, Complete Volume}
}
Document
Front Matter
DOI: 10.4230/LIPIcs.GD.2024.0
Front Matter, Table of Contents, Preface, Conference Organization

Authors: Stefan Felsner and Karsten Klein

Published in: LIPIcs, Volume 320, 32nd International Symposium on Graph Drawing and Network Visualization (GD 2024)

Abstract
Front Matter, Table of Contents, Preface, Conference Organization
Cite as

32nd International Symposium on Graph Drawing and Network Visualization (GD 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 320, pp. 0:i-0:xiv, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{felsner_et_al:LIPIcs.GD.2024.0,
  author =	{Felsner, Stefan and Klein, Karsten},
  title =	{{Front Matter, Table of Contents, Preface, Conference Organization}},
  booktitle =	{32nd International Symposium on Graph Drawing and Network Visualization (GD 2024)},
  pages =	{0:i--0:xiv},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-343-0},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{320},
  editor =	{Felsner, Stefan and Klein, Karsten},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GD.2024.0},
  URN =		{urn:nbn:de:0030-drops-220882},
  doi =		{10.4230/LIPIcs.GD.2024.0},
  annote =	{Keywords: Front Matter, Table of Contents, Preface, Conference Organization}
}
Document
Software Abstract
DOI: 10.4230/LIPIcs.GD.2024.57
Immersive Analytics of Graphs in Virtual Reality with GAV-VR (Software Abstract)

Authors: Stefan P. Feyer, Wilhelm Kerle-Malcharek, Ying Zhang, Falk Schreiber, and Karsten Klein

Published in: LIPIcs, Volume 320, 32nd International Symposium on Graph Drawing and Network Visualization (GD 2024)

Abstract
The design space for interactive graph visualisation in immersive environments creates opportunities to improve on established solutions in traditional desktop settings. Exploiting this potential requires careful analysis of achievable benefits, required tradeoffs, and disadvantages for particular designs and use-cases. GAV-VR is a modular and user-extensible framework for graph visualisation and analysis in Virtual Reality (VR). It provides the platform to easily create interactive graph visualisations, facilitating both applied graph analysis and evaluation of approaches and methods for visualisation of and interaction with graphs in VR.
Cite as

Stefan P. Feyer, Wilhelm Kerle-Malcharek, Ying Zhang, Falk Schreiber, and Karsten Klein. Immersive Analytics of Graphs in Virtual Reality with GAV-VR (Software Abstract). In 32nd International Symposium on Graph Drawing and Network Visualization (GD 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 320, pp. 57:1-57:3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{feyer_et_al:LIPIcs.GD.2024.57,
  author =	{Feyer, Stefan P. and Kerle-Malcharek, Wilhelm and Zhang, Ying and Schreiber, Falk and Klein, Karsten},
  title =	{{Immersive Analytics of Graphs in Virtual Reality with GAV-VR}},
  booktitle =	{32nd International Symposium on Graph Drawing and Network Visualization (GD 2024)},
  pages =	{57:1--57:3},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-343-0},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{320},
  editor =	{Felsner, Stefan and Klein, Karsten},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GD.2024.57},
  URN =		{urn:nbn:de:0030-drops-213413},
  doi =		{10.4230/LIPIcs.GD.2024.57},
  annote =	{Keywords: Networks, Immersive Analytics, Software}
}
Document
DOI: 10.4230/DagRep.13.1.216
Perception in Network Visualization (Dagstuhl Seminar 23051)

Authors: Karsten Klein, Stephen Kobourov, Bernice E. Rogowitz, Danielle Szafir, and Jacob Miller

Published in: Dagstuhl Reports, Volume 13, Issue 1 (2023)

Abstract
Networks are used to model and represent data in many application areas from life sciences to social sciences. Visual network analysis is a crucial tool to improve the understanding of data sets and processes over many levels of complexity, such as different semantic, spatial and temporal granularities. While there is a great deal of work on the algorithmic aspects of network visualization and the computational complexity of the underlying problems, the role and limits of human perception are rarely explicitly investigated and taken into account when designing network visualizations. To address this issue, this Dagstuhl Seminar raised awareness in the network visualization community of the need for more extensive theoretical and empirical understanding of how people perceive and make sense of network visualizations and the significant potential for improving current solutions when perception-based strategies are employed. Likewise, the seminar increased awareness in the perception community that challenges in network research can drive new questions for perception research, for example, in identifying features and patterns in large, often time-varying networks. We brought together researchers from several different communities to initiate a dialogue, foster exchange, discuss the state of the art at this intersection and within the respective fields, identify promising research questions and directions, and start working on selected problems.
Cite as

Karsten Klein, Stephen Kobourov, Bernice E. Rogowitz, Danielle Szafir, and Jacob Miller. Perception in Network Visualization (Dagstuhl Seminar 23051). In Dagstuhl Reports, Volume 13, Issue 1, pp. 216-244, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@Article{klein_et_al:DagRep.13.1.216,
  author =	{Klein, Karsten and Kobourov, Stephen and Rogowitz, Bernice E. and Szafir, Danielle and Miller, Jacob},
  title =	{{Perception in Network Visualization (Dagstuhl Seminar 23051)}},
  pages =	{216--244},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2023},
  volume =	{13},
  number =	{1},
  editor =	{Klein, Karsten and Kobourov, Stephen and Rogowitz, Bernice E. and Szafir, Danielle and Miller, Jacob},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.13.1.216},
  URN =		{urn:nbn:de:0030-drops-191220},
  doi =		{10.4230/DagRep.13.1.216},
  annote =	{Keywords: Network Visualization, Graph Drawing, Perception, Cognition}
}
Document
DOI: 10.4230/DagRep.12.1.67
Bringing Graph Databases and Network Visualization Together (Dagstuhl Seminar 22031)

Authors: Karsten Klein, Juan F. Sequeda, Hsiang-Yun Wu, and Da Yan

Published in: Dagstuhl Reports, Volume 12, Issue 1 (2022)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 22031 "Bringing Graph Databases and Network Visualization Together". Due to the ongoing restrictions caused by the COVID-19 pandemic, this purely on-site seminar had a reduced number of participants. Twenty-two researchers and practitioners from the Network Visualization and Graph Database communities met to initiate collaborative work and exchange between the two communities. The seminar served to establish a common understanding of the state of the art and the terminology in both communities, and to connect participants to tackle joint research challenges. Survey talks on the first days laid the foundations for subsequent plenary discussions and working groups. Further lightining talks during the next days gave more detailed insight into specific research questions and practical challenges. The contributions of the seminar include bringing the communities together, the identification of the top areas of research interest, and the characterization of research challenges and research questions. As an outcome, a position paper is planned, and further collaborations and joint publications are on the way.
Cite as

Karsten Klein, Juan F. Sequeda, Hsiang-Yun Wu, and Da Yan. Bringing Graph Databases and Network Visualization Together (Dagstuhl Seminar 22031). In Dagstuhl Reports, Volume 12, Issue 1, pp. 67-82, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@Article{klein_et_al:DagRep.12.1.67,
  author =	{Klein, Karsten and Sequeda, Juan F. and Wu, Hsiang-Yun and Yan, Da},
  title =	{{Bringing Graph Databases and Network Visualization Together (Dagstuhl Seminar 22031)}},
  pages =	{67--82},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2022},
  volume =	{12},
  number =	{1},
  editor =	{Klein, Karsten and Sequeda, Juan F. and Wu, Hsiang-Yun and Yan, Da},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.12.1.67},
  URN =		{urn:nbn:de:0030-drops-169218},
  doi =		{10.4230/DagRep.12.1.67},
  annote =	{Keywords: graph databases, network visualization, visual analytics}
}
Document
DOI: 10.4230/DagRep.11.9.1
Visualization of Biological Data - From Analysis to Communication (Dagstuhl Seminar 21401)

Authors: Karsten Klein, Georgeta Elisabeta Marai, Kay Katja Nieselt, and Blaz Zupan

Published in: Dagstuhl Reports, Volume 11, Issue 9 (2022)

Abstract
Technological advancements in biology allow us to collect and generate a large quantity of data and pose a significant challenge to data interpretation and understanding. Addressing this challenge requires a blend of methodology from data visualization, bioinformatics, and biology. This methodology encompasses perception and design knowledge, algorithm design, techniques for analyzing and visualizing big data, statistical approaches, and specific domain knowledge for different application problems. In particular, it is essential to develop robust and integrative visualization methods combined with computational analytical techniques and approaches to communicate the outcomes visually. The purpose of Dagstuhl Seminar 21401, "Visualization of Biological Data - From Analysis to Communication," was to bring together researchers from various fields to discuss the state of the art, to debate means of advancing science in the field of visualization of biological data, and to foster the development of our international community.
Cite as

Karsten Klein, Georgeta Elisabeta Marai, Kay Katja Nieselt, and Blaz Zupan. Visualization of Biological Data - From Analysis to Communication (Dagstuhl Seminar 21401). In Dagstuhl Reports, Volume 11, Issue 9, pp. 1-27, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@Article{klein_et_al:DagRep.11.9.1,
  author =	{Klein, Karsten and Marai, Georgeta Elisabeta and Nieselt, Kay Katja and Zupan, Blaz},
  title =	{{Visualization of Biological Data - From Analysis to Communication (Dagstuhl Seminar 21401)}},
  pages =	{1--27},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2022},
  volume =	{11},
  number =	{9},
  editor =	{Klein, Karsten and Marai, Georgeta Elisabeta and Nieselt, Kay Katja and Zupan, Blaz},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.11.9.1},
  URN =		{urn:nbn:de:0030-drops-159158},
  doi =		{10.4230/DagRep.11.9.1},
  annote =	{Keywords: Bioinformatics, biology, Imaging, interdisciplinarity, Omics, Visual analytics, visualization}
}
Document
DOI: 10.4230/DagRep.6.6.1
Immersive Analytics (Dagstuhl Seminar 16231)

Authors: Tim Dwyer, Nathalie Henry Riche, Karsten Klein, Wolfgang Stuerzlinger, and Bruce Thomas

Published in: Dagstuhl Reports, Volume 6, Issue 6 (2016)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 16231 "Immersive Analytics". Close to 40 researchers and practitioners participated in this seminar to discuss and define the field of Immersive Analytics, to create a community around it, and to identify its research challenges. As the participants had a diverse background in a variety of disciplines, including Human-Computer-Interaction, Augmented and Virtual Reality, Information Visualization, and Visual Analytics, the seminar featured a couple of survey talks on the first days, followed by plenary and working group discussions that were meant to shape the field of Immerswive Analytics. As an outcome, a book publication is planned with book chapters provided by the participants.
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Tim Dwyer, Nathalie Henry Riche, Karsten Klein, Wolfgang Stuerzlinger, and Bruce Thomas. Immersive Analytics (Dagstuhl Seminar 16231). In Dagstuhl Reports, Volume 6, Issue 6, pp. 1-9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@Article{dwyer_et_al:DagRep.6.6.1,
  author =	{Dwyer, Tim and Henry Riche, Nathalie and Klein, Karsten and Stuerzlinger, Wolfgang and Thomas, Bruce},
  title =	{{Immersive Analytics (Dagstuhl Seminar 16231)}},
  pages =	{1--9},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2016},
  volume =	{6},
  number =	{6},
  editor =	{Dwyer, Tim and Henry Riche, Nathalie and Klein, Karsten and Stuerzlinger, Wolfgang and Thomas, Bruce},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.6.6.1},
  URN =		{urn:nbn:de:0030-drops-67249},
  doi =		{10.4230/DagRep.6.6.1},
  annote =	{Keywords: Visual Analytics, Immersion, Human-Computer Interaction, Augmented Reality, Virtual Reality}
}
Document
DOI: 10.4230/DagSemProc.08191.6
08191 Working Group Summary – Visually Comparing a Set of Graphs

Authors: Mario Albrecht, Alejandro Estrella-Balderrama, Markus Geyer, Carsten Gutwenger, Karsten Klein, Oliver Kohlbacher, and Michael Schulz

Published in: Dagstuhl Seminar Proceedings, Volume 8191, Graph Drawing with Applications to Bioinformatics and Social Sciences (2008)

Abstract
We consider methods to visually compare graphs, more to focus on the differences of the graphs than on the similarities. Our two-level approach constructs a meaningful overview of the given graphs combined with a detailed view focusing on a local area of change. The actual layout of these graphs has to be evaluated depending on the specific type of biological network to be visualized in each case. We look into different variants and propose properties to be optimized in our visualizations.
Cite as

Mario Albrecht, Alejandro Estrella-Balderrama, Markus Geyer, Carsten Gutwenger, Karsten Klein, Oliver Kohlbacher, and Michael Schulz. 08191 Working Group Summary – Visually Comparing a Set of Graphs. In Graph Drawing with Applications to Bioinformatics and Social Sciences. Dagstuhl Seminar Proceedings, Volume 8191, pp. 1-6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{albrecht_et_al:DagSemProc.08191.6,
  author =	{Albrecht, Mario and Estrella-Balderrama, Alejandro and Geyer, Markus and Gutwenger, Carsten and Klein, Karsten and Kohlbacher, Oliver and Schulz, Michael},
  title =	{{08191 Working Group Summary – Visually Comparing a Set of Graphs}},
  booktitle =	{Graph Drawing with Applications to Bioinformatics and Social Sciences},
  pages =	{1--6},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8191},
  editor =	{Stephen P. Borgatti and Stephen Kobourov and Oliver Kohlbacher and Petra Mutzel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08191.6},
  URN =		{urn:nbn:de:0030-drops-15536},
  doi =		{10.4230/DagSemProc.08191.6},
  annote =	{Keywords: Graph drawing, visual graph comparison}
}
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