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Documents authored by Klein, Karsten

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
Cite as

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.
Cite as

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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