EuroVisSTAR2015

Permanent URI for this collection

https://diglib.eg.org/handle/10.2312/12464
Cagliari, Italy, May 25 – 29, 2015
Table of Contents
Graphs
A Survey of Multi-faceted Graph Visualization
[full paper Image] [meta data Image]
Steffen Hadlak, Heidrun Schumann, and Hans-Jörg Schulz
The State of the Art in Visualizing Group Structures in Graphs
[full paper Image] [meta data Image]
Corinna Vehlow, Fabian Beck, and Daniel Weiskopf
Graphs and Biomolecules
A Survey of Graph-Based Representations and Techniques for Scientific Visualization
[full paper Image] [meta data Image]
Chaoli Wang
Visualization of Biomolecular Structures: State of the Art
[full paper Image] [meta data Image]
Barbora Kozlikova, Michael Krone, Norbert Lindow, Martin Falk, Marc Baaden, Daniel Baum, Ivan Viola, Julius Parulek, and Hans-Christian Hege
Humanities and Malware
On Close and Distant Reading in Digital Humanities: A Survey and Future Challenges
[full paper Image] [meta data Image]
Stefan Jänicke, Greta Franzini, Muhammad Faisal Cheema, and Gerik Scheuermann
A Survey of Visualization Systems for Malware Analysis
[full paper Image] [meta data Image]
Markus Wagner, Fabian Fischer, Robert Luh, Andrea Haberson, Alexander Rind, Daniel A. Keim, and Wolfgang Aigner
High-dimensional Data
Visualizing High-Dimensional Data: Advances in the Past Decade
[full paper Image] [meta data Image]
Shusen Liu, Dan Maljovec, Bei Wang, Peer-Timo Bremer, and Valerio Pascucci

BibTeX (EuroVisSTAR2015)
@inproceedings{
10.2312:eurovisstar.20151109,

booktitle = {
Eurographics Conference on Visualization (EuroVis) - STARs},

editor = {
R. Borgo and F. Ganovelli and I. Viola
},
title = {{
A Survey of Multi-faceted Graph Visualization}},

author = {
Hadlak, Steffen
 and 
Schumann, Heidrun
 and 
Schulz, Hans-Jörg
},
year = {
2015},

publisher = {
The Eurographics Association},


DOI = {
10.2312/eurovisstar.20151109}

}
@inproceedings{
10.2312:eurovisstar.20151110,

booktitle = {
Eurographics Conference on Visualization (EuroVis) - STARs},

editor = {
R. Borgo and F. Ganovelli and I. Viola
},
title = {{
The State of the Art in Visualizing Group Structures in Graphs}},

author = {
Vehlow, Corinna
 and 
Beck, Fabian
 and 
Weiskopf, Daniel
},
year = {
2015},

publisher = {
The Eurographics Association},


DOI = {
10.2312/eurovisstar.20151110}

}
@inproceedings{
10.2312:eurovisstar.20151111,

booktitle = {
Eurographics Conference on Visualization (EuroVis) - STARs},

editor = {
R. Borgo and F. Ganovelli and I. Viola
},
title = {{
A Survey of Graph-Based Representations and Techniques for Scientific Visualization}},

author = {
Wang, Chaoli
},
year = {
2015},

publisher = {
The Eurographics Association},


DOI = {
10.2312/eurovisstar.20151111}

}
@inproceedings{
10.2312:eurovisstar.20151112,

booktitle = {
Eurographics Conference on Visualization (EuroVis) - STARs},

editor = {
R. Borgo and F. Ganovelli and I. Viola
},
title = {{
Visualization of Biomolecular Structures: State of the Art}},

author = {
Kozlikova, Barbora
 and 
Krone, Michael
 and 
Lindow, Norbert
 and 
Falk, Martin
 and 
Baaden, Marc
 and 
Baum, Daniel
 and 
Viola, Ivan
 and 
Parulek, Julius
 and 
Hege, Hans-Christian
},
year = {
2015},

publisher = {
The Eurographics Association},


DOI = {
10.2312/eurovisstar.20151112}

}
@inproceedings{
10.2312:eurovisstar.20151113,

booktitle = {
Eurographics Conference on Visualization (EuroVis) - STARs},

editor = {
R. Borgo and F. Ganovelli and I. Viola
},
title = {{
On Close and Distant Reading in Digital Humanities: A Survey and Future Challenges}},

author = {
Jänicke, Stefan
 and 
Franzini, Greta
 and 
Cheema, Muhammad Faisal
 and 
Scheuermann, Gerik
},
year = {
2015},

publisher = {
The Eurographics Association},


DOI = {
10.2312/eurovisstar.20151113}

}
@inproceedings{
10.2312:eurovisstar.20151115,

booktitle = {
Eurographics Conference on Visualization (EuroVis) - STARs},

editor = {
R. Borgo and F. Ganovelli and I. Viola
},
title = {{
Visualizing High-Dimensional Data: Advances in the Past Decade}},

author = {
Liu, Shusen
 and 
Maljovec, Dan
 and 
Wang, Bei
 and 
Bremer, Peer-Timo
 and 
Pascucci, Valerio
},
year = {
2015},

publisher = {
The Eurographics Association},


DOI = {
10.2312/eurovisstar.20151115}

}
@inproceedings{
10.2312:eurovisstar.20151114,

booktitle = {
Eurographics Conference on Visualization (EuroVis) - STARs},

editor = {
R. Borgo and F. Ganovelli and I. Viola
},
title = {{
A Survey of Visualization Systems for Malware Analysis}},

author = {
Wagner, Markus
 and 
Fischer, Fabian
 and 
Luh, Robert
 and 
Haberson, Andrea
 and 
Rind, Alexander
 and 
Keim, Daniel A.
 and 
Aigner, Wolfgang
},
year = {
2015},

publisher = {
The Eurographics Association},


DOI = {
10.2312/eurovisstar.20151114}

}

Browse

Recent Submissions

Now showing 1 - 8 of 8
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    Frontmatter: Eurographics Conference on Visualization (EuroVis) 2015 - STARs - State of The Art Reports
    (Eurographics Association, 2015) Borgo, Rita; Ganovelli, Fabio; Viola, Ivan; -
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    Item
    A Survey of Multi-faceted Graph Visualization
    (The Eurographics Association, 2015) Hadlak, Steffen; Schumann, Heidrun; Schulz, Hans-Jörg; R. Borgo and F. Ganovelli and I. Viola
    Graph visualization is an important field in information visualization that is centered on the graphical display of graph-structured data. Yet real world data is rarely just graph-structured, but instead exhibits multiple facets, such as multivariate attributes, or spatial and temporal frames of reference. In an effort to display different facets of a graph, such a wealth of visualization techniques has been developed in the past that current surveys focus on a single additional facet only in order to enumerate and classify them. This report builds on existing graph visualization surveys for the four common facets of partitions, attributes, time, and space. It contributes a generic high-level categorization of faceted graph visualization that subsumes the existing classifications, which can be understood as facet-specific refinements of the resulting categories. Furthermore, it extends beyond existing surveys by applying the same categorization to graph visualizations with multiple facets. For each of the introduced categories and considered facets, this overview provides visualization examples to illustrate instances of their realization.
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    The State of the Art in Visualizing Group Structures in Graphs
    (The Eurographics Association, 2015) Vehlow, Corinna; Beck, Fabian; Weiskopf, Daniel; R. Borgo and F. Ganovelli and I. Viola
    Graph visualizations encode relationships between objects. Abstracting the objects into group structures provides an overview of the data. Groups can be disjoint or overlapping, and might be organized hierarchically. However, the underlying graph still needs to be represented for analyzing the data in more depth. This work surveys research in visualizing group structures as part of graph diagrams. A particular focus is the explicit visual encoding of groups, rather than only using graph layout to implicitly indicate groups. We introduce a taxonomy of visualization techniques structuring the field into four main categories: visual node attributes vary properties of the node representation to encode the grouping, juxtaposed approaches use two separate visualizations, superimposed techniques work with two aligned visual layers, and embedded visualizations tightly integrate group and graph representation. We discuss results from evaluations of those techniques as well as main areas of application. Finally, we report future challenges based on interviews we conducted with leading researchers of the field.
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    A Survey of Graph-Based Representations and Techniques for Scientific Visualization
    (The Eurographics Association, 2015) Wang, Chaoli; R. Borgo and F. Ganovelli and I. Viola
    Graphs represent general node-link diagrams and have long been utilized in scientific visualization for data organization and management. However, using graphs as a visual representation and interface for navigating and exploring scientific data sets has a much shorter history yet the amount of work along this direction is clearly on the rise in recent years. In this paper, we take a holistic perspective and survey graph-based representations and techniques for scientific visualization. Specifically, we classify these representations and techniques into four categories, namely, partition-wise, relationship-wise, structure-wise, and provenance-wise. We survey related publications in each category, explaining the roles of graphs in related work and highlighting their similarities and differences. We also point out research trends and remaining challenges in graph-based representations and techniques for scientific visualization.
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    Visualization of Biomolecular Structures: State of the Art
    (The Eurographics Association, 2015) Kozlikova, Barbora; Krone, Michael; Lindow, Norbert; Falk, Martin; Baaden, Marc; Baum, Daniel; Viola, Ivan; Parulek, Julius; Hege, Hans-Christian; R. Borgo and F. Ganovelli and I. Viola
    Structural properties of molecules are of primary concern in many fields. This report provides a comprehensive overview on techniques that have been developed in the fields of molecular graphics and visualization with a focus on applications in structural biology. The field heavily relies on computerized geometric and visual representations of three-dimensional, complex, large, and time-varying molecular structures. The report presents a taxonomy that demonstrates which areas of molecular visualization have already been extensively investigated and where the field is currently heading. It discusses visualizations for molecular structures, strategies for efficient display regarding image quality and frame rate, covers different aspects of level of detail, and reviews visualizations illustrating the dynamic aspects of molecular simulation data. The report concludes with an outlook on promising and important research topics to enable further success in advancing the knowledge about interaction of molecular structures.
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    On Close and Distant Reading in Digital Humanities: A Survey and Future Challenges
    (The Eurographics Association, 2015) Jänicke, Stefan; Franzini, Greta; Cheema, Muhammad Faisal; Scheuermann, Gerik; R. Borgo and F. Ganovelli and I. Viola
    We present an overview of the last ten years of research on visualizations that support close and distant reading of textual data in the digital humanities. We look at various works published within both the visualization and digital humanities communities. We provide a taxonomy of applied methods for close and distant reading, and illustrate approaches that combine both reading techniques to provide a multifaceted view of the data. Furthermore, we list toolkits and potentially beneficial visualization approaches for research in the digital humanities. Finally, we summarize collaboration experiences when developing visualizations for close and distant reading, and give an outlook on future challenges in that research area.
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    Visualizing High-Dimensional Data: Advances in the Past Decade
    (The Eurographics Association, 2015) Liu, Shusen; Maljovec, Dan; Wang, Bei; Bremer, Peer-Timo; Pascucci, Valerio; R. Borgo and F. Ganovelli and I. Viola
    Massive simulations and arrays of sensing devices, in combination with increasing computing resources, have generated large, complex, high-dimensional datasets used to study phenomena across numerous fields of study. Visualization plays an important role in exploring such datasets. We provide a comprehensive survey of advances in high-dimensional data visualization over the past 15 years. We aim at providing actionable guidance for data practitioners to navigate through a modular view of the recent advances, allowing the creation of new visualizations along the enriched information visualization pipeline and identifying future opportunities for visualization research.
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    A Survey of Visualization Systems for Malware Analysis
    (The Eurographics Association, 2015) Wagner, Markus; Fischer, Fabian; Luh, Robert; Haberson, Andrea; Rind, Alexander; Keim, Daniel A.; Aigner, Wolfgang; R. Borgo and F. Ganovelli and I. Viola
    Due to the increasing threat from malicious software (malware), monitoring of vulnerable systems is becoming increasingly important. The need to log and analyze activity encompasses networks, individual computers, as well as mobile devices. While there are various automatic approaches and techniques available to detect, identify, or capture malware, the actual analysis of the ever-increasing number of suspicious samples is a time-consuming process for malware analysts. The use of visualization and highly interactive visual analytics systems can help to support this analysis process with respect to investigation, comparison, and summarization of malware samples. Currently, there is no survey available that reviews available visualization systems supporting this important and emerging field. We provide a systematic overview and categorization of malware visualization systems from the perspective of visual analytics. Additionally, we identify and evaluate data providers and commercial tools that produce meaningful input data for the reviewed malware visualization systems. This helps to reveal data types that are currently underrepresented, enabling new research opportunities in the visualization community.