EuroVisPosters2017

Permanent URI for this collection

https://diglib.eg.org/handle/10.2312/2631437
Barcelona, Spain, 12 - 16 June 2017
Table of Contents
Posters
Structuring and Visualizing Knowledge in Soil Science
[full paper Image] [meta data Image]
Bastian Stößel, Eva Rabot, Felix Richter, Ulrich Weller, and Hans-Jörg Vogel
Towards an Adaptive Framework for Real-Time Visualization of Streaming Big Data
[full paper Image] [meta data Image]
Amin M. Khan, Daniel Gonçalves, and Duarte C. Leão
Diggersdiaries: Using Text Analysis to Support Exploration and Reading in a Large Document Collection
[full paper Image] [meta data Image]
Jaume Nualart Vilaplana and Mario Pérez-Montoro
Memory Efficient Parallel Ray-casting Algorithm for Unstructured Grid Volume Rendering
[full paper Image] [meta data Image]
Duksu Kim
Evaluating Cognitive Load: Force-directed Layout vs. Chord Layout
[full paper Image] [meta data Image]
Ricarda Moses, Shah Rukh Humayoun, Ragaad AlTarawneh, and Achim Ebert
Visualization of the Forever 27 Club
[full paper Image] [meta data Image]
Suchismita Naik
BitConduite: Visualizing and Analyzing Activity on the Bitcoin Network
[full paper Image] [meta data Image]
Christoph Kinkeldey, Jean-Daniel Fekete, and Petra Isenberg
Visualization Taxonomy based on the Specification of User's Goal and Data Dimensions
[full paper Image] [meta data Image]
Pawandeep Kaur and Birgitta Koenig-Ries
Hypenet: Visualizing Dynamic Hypergraphs
[full paper Image] [meta data Image]
Paola Valdivia, Paolo Buono, and Jean-Daniel Fekete
An Interactive Visual Representation to Explore Association with Hierarchical Social Circles
[full paper Image] [meta data Image]
Shah Rukh Humayoun, Syed Hammad Ali, Ragaad AlTarawneh, and Achim Ebert
Integrating Guided Clustering in Visual Analytics to Support Domain Expert Reasoning Processes
[full paper Image] [meta data Image]
Andreas Mathisen, Matthias Nielsen, and Kaj Grønbæk
DcPAIRS: A Pairs Plot Based Decision Support System
[full paper Image] [meta data Image]
Evanthia Dimara, Paola Valdivia, and Christoph Kinkeldey
Power Efficiency of Volume Raycasting on Mobile Devices
[full paper Image] [meta data Image]
Moritz Heinemann, Valentin Bruder, Steffen Frey, and Thomas Ertl
Interactive Lens for Effective Time-Series Animation
[full paper Image] [meta data Image]
Yang Chen, Jing Yang, and Ye Zhao
A Visual Approach for Text Analysis Using Multiword Topics
[full paper Image] [meta data Image]
Seongmin Mun, Guillaume Desagulier, and Kyungwon Lee
DaaG: Visual Analytics Clustering Using Network Representation
[full paper Image] [meta data Image]
Daniel Alcaide and Jan Aerts
Interactive Visualization of Massive Location Data using Multi-Scale Trajectories
[full paper Image] [meta data Image]
Thomas De Bodt, Bart Adams, and Jan Aerts
Uncertainty Visualization of Stenotic Regions in Vascular Structures
[full paper Image] [meta data Image]
Gordan Ristovski, Horst K. Hahn, and Lars Linsen
Using Graphs for Exposing the Underlying Competence Design of Academic Degrees
[full paper Image] [meta data Image]
Laia Blasco-Soplon and Julià Minguillón
'Them again?'' Dynamic Communities in the Media
[full paper Image] [meta data Image]
Haolin Ren, Marie-Luce Viaud, and Guy Melançon
Visual Stratification for Epidemiological Analysis
[full paper Image] [meta data Image]
José Matute and Lars Linsen
MDS-based Visual Survey of Biological Data Visualization Techniques
[full paper Image] [meta data Image]
Andreas Kerren, Kostiantyn Kucher, Yuan-Fang Li, and Falk Schreiber
Visually Analyzing Parameter Influence on Optical Coherence Tomography Data in Ophthalmology
[full paper Image] [meta data Image]
Martin Röhlig, Martin Luboschik, Ruby Kala Prakasam, Oliver Stachs, and Heidrun Schumann
ConTraffic Visual Analytics in Support to Customs Risk-Analysis
[full paper Image] [meta data Image]
Mikaela Poulymenopoulou and Aris Tsois
Visual Analysis of Magnetic Resonance Spectroscopy Imaging Data for the Study of Human Brain Tumors
[full paper Image] [meta data Image]
Muhammad Jawad and Lars Linsen
Visual Analytics of Global Parameters in Simulation Ensembles of ODE-based Excitable Network Dynamics
[full paper Image] [meta data Image]
Quynh Quang Ngo, Marc-Thorsten Hütt, and Lars Linsen
Quantitative Comparison of Treemap Techniques for Time-Dependent Hierarchies
[full paper Image] [meta data Image]
Eduardo Faccin Vernier, Joao L. D. Comba, and Alex C. Telea
Projection Navigation In Extremely Large Datasets (PNIELD)
[full paper Image] [meta data Image]
J. F. Kruiger, Alex C. Telea, and Christophe Hurter
Responsive Data Visualisation
[full paper Image] [meta data Image]
Keith Andrews and Aleš Smrdel
Visualization of Temporal Logic Specifications
[full paper Image] [meta data Image]
James Scott-Brown and Antonis Papachristodoulou
Semi-automatic Colonic Content Analysis for Diagnostic
[full paper Image] [meta data Image]
Víctor Ceballos, Eva Monclús, Pere-Pau Vázquez, Álvaro Bendezú, Marianela Mego, Xavier Merino, Fernando Azpiroz, and Isabel Navazo
Visual Analysis of Geolocated Echo Chambers in Social Media
[full paper Image] [meta data Image]
Michael Hundt, Bruno Schneider, Mennatallah El-Assady, Daniel A. Keim, and Alexandra Diehl
Tangible Visual Analysis: Brushing in a Mixed-Reality Environment
[full paper Image] [meta data Image]
Denis Gracanin, Reza Tasooji, Mohamed Handosa, Kresimir Matkovic, and Manuela Waldner
A High-Dimensional Data Quality Metric using Pareto Optimality
[full paper Image] [meta data Image]
Tobias Post, Thomas Wischgoll, Bernd Hamann, and Hans Hagen
Visualising Data with L2
[full paper Image] [meta data Image]
Graham McNeill

BibTeX (EuroVisPosters2017)
@inproceedings{
10.2312:eurp.20171154,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
Structuring and Visualizing Knowledge in Soil Science}},

author = {
Stößel, Bastian
 and 
Rabot, Eva
 and 
Richter, Felix
 and 
Weller, Ulrich
 and 
Vogel, Hans-Jörg
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171154}

}
@inproceedings{
10.2312:eurp.20171155,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
Towards an Adaptive Framework for Real-Time Visualization of Streaming Big Data}},

author = {
Khan, Amin M.
 and 
Gonçalves, Daniel
 and 
Leão, Duarte C.
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171155}

}
@inproceedings{
10.2312:eurp.20171157,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
Memory Efficient Parallel Ray-casting Algorithm for Unstructured Grid Volume Rendering}},

author = {
Kim, Duksu
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171157}

}
@inproceedings{
10.2312:eurp.20171156,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
Diggersdiaries: Using Text Analysis to Support Exploration and Reading in a Large Document Collection}},

author = {
Vilaplana, Jaume Nualart
 and 
Pérez-Montoro, Mario
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171156}

}
@inproceedings{
10.2312:eurp.20171158,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
Evaluating Cognitive Load: Force-directed Layout vs. Chord Layout}},

author = {
Moses, Ricarda
 and 
Humayoun, Shah Rukh
 and 
AlTarawneh, Ragaad
 and 
Ebert, Achim
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171158}

}
@inproceedings{
10.2312:eurp.20171160,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
BitConduite: Visualizing and Analyzing Activity on the Bitcoin Network}},

author = {
Kinkeldey, Christoph
 and 
Fekete, Jean-Daniel
 and 
Isenberg, Petra
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171160}

}
@inproceedings{
10.2312:eurp.20171162,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
Hypenet: Visualizing Dynamic Hypergraphs}},

author = {
Valdivia, Paola
 and 
Buono, Paolo
 and 
Fekete, Jean-Daniel
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171162}

}
@inproceedings{
10.2312:eurp.20171159,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
Visualization of the Forever 27 Club}},

author = {
Naik, Suchismita
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171159}

}
@inproceedings{
10.2312:eurp.20171161,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
Visualization Taxonomy based on the Specification of User's Goal and Data Dimensions}},

author = {
Kaur, Pawandeep
 and 
König-Ries, Birgitta
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171161}

}
@inproceedings{
10.2312:eurp.20171163,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
An Interactive Visual Representation to Explore Association with Hierarchical Social Circles}},

author = {
Humayoun, Shah Rukh
 and 
Ali, Syed Hammad
 and 
AlTarawneh, Ragaad
 and 
Ebert, Achim
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171163}

}
@inproceedings{
10.2312:eurp.20171164,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
Integrating Guided Clustering in Visual Analytics to Support Domain Expert Reasoning Processes}},

author = {
Mathisen, Andreas
 and 
Nielsen, Matthias
 and 
Grønbæk, Kaj
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171164}

}
@inproceedings{
10.2312:eurp.20171165,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
DcPAIRS: A Pairs Plot Based Decision Support System}},

author = {
Dimara, Evanthia
 and 
Valdivia, Paola
 and 
Kinkeldey, Christoph
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171165}

}
@inproceedings{
10.2312:eurp.20171167,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
Interactive Lens for Effective Time-Series Animation}},

author = {
Chen, Yang
 and 
Yang, Jing
 and 
Zhao, Ye
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171167}

}
@inproceedings{
10.2312:eurp.20171166,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
Power Efficiency of Volume Raycasting on Mobile Devices}},

author = {
Heinemann, Moritz
 and 
Bruder, Valentin
 and 
Frey, Steffen
 and 
Ertl, Thomas
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171166}

}
@inproceedings{
10.2312:eurp.20171169,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
DaaG: Visual Analytics Clustering Using Network Representation}},

author = {
Alcaide, Daniel
 and 
Aerts, Jan
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171169}

}
@inproceedings{
10.2312:eurp.20171168,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
A Visual Approach for Text Analysis Using Multiword Topics}},

author = {
Mun, Seongmin
 and 
Desagulier, Guillaume
 and 
Lee, Kyungwon
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171168}

}
@inproceedings{
10.2312:eurp.20171171,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
Uncertainty Visualization of Stenotic Regions in Vascular Structures}},

author = {
Ristovski, Gordan
 and 
Hahn, Horst K.
 and 
Linsen, Lars
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171171}

}
@inproceedings{
10.2312:eurp.20171172,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
Using Graphs for Exposing the Underlying Competence Design of Academic Degrees}},

author = {
Blasco-Soplon, Laia
 and 
Minguillón, Julià
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171172}

}
@inproceedings{
10.2312:eurp.20171170,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
Interactive Visualization of Massive Location Data using Multi-Scale Trajectories}},

author = {
Bodt, Thomas De
 and 
Adams, Bart
 and 
Aerts, Jan
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171170}

}
@inproceedings{
10.2312:eurp.20171174,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
Visual Stratification for Epidemiological Analysis}},

author = {
Matute, José
 and 
Linsen, Lars
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171174}

}
@inproceedings{
10.2312:eurp.20171173,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
'Them again?'' Dynamic Communities in the Media}},

author = {
Ren, Haolin
 and 
Viaud, Marie-Luce
 and 
Melançon, Guy
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171173}

}
@inproceedings{
10.2312:eurp.20171175,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
MDS-based Visual Survey of Biological Data Visualization Techniques}},

author = {
Kerren, Andreas
 and 
Kucher, Kostiantyn
 and 
Li, Yuan-Fang
 and 
Schreiber, Falk
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171175}

}
@inproceedings{
10.2312:eurp.20171176,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
Visually Analyzing Parameter Influence on Optical Coherence Tomography Data in Ophthalmology}},

author = {
Röhlig, Martin
 and 
Luboschik, Martin
 and 
Prakasam, Ruby Kala
 and 
Stachs, Oliver
 and 
Schumann, Heidrun
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171176}

}
@inproceedings{
10.2312:eurp.20171177,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
ConTraffic Visual Analytics in Support to Customs Risk-Analysis}},

author = {
Poulymenopoulou, Mikaela
 and 
Tsois, Aris
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171177}

}
@inproceedings{
10.2312:eurp.20171178,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
Visual Analysis of Magnetic Resonance Spectroscopy Imaging Data for the Study of Human Brain Tumors}},

author = {
Jawad, Muhammad
 and 
Linsen, Lars
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171178}

}
@inproceedings{
10.2312:eurp.20171179,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
Visual Analytics of Global Parameters in Simulation Ensembles of ODE-based Excitable Network Dynamics}},

author = {
Ngo, Quynh Quang
 and 
Hütt, Marc-Thorsten
 and 
Linsen, Lars
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171179}

}
@inproceedings{
10.2312:eurp.20171180,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
Quantitative Comparison of Treemap Techniques for Time-Dependent Hierarchies}},

author = {
Vernier, Eduardo Faccin
 and 
Comba, Joao L. D.
 and 
Telea, Alex C.
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171180}

}
@inproceedings{
10.2312:eurp.20171181,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
Projection Navigation In Extremely Large Datasets (PNIELD)}},

author = {
Kruiger, J. F.
 and 
Telea, Alex C.
 and 
Hurter, Christophe
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171181}

}
@inproceedings{
10.2312:eurp.20171182,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
Responsive Data Visualisation}},

author = {
Andrews, Keith
 and 
Smrdel, Aleš
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171182}

}
@inproceedings{
10.2312:eurp.20171183,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
Visualization of Temporal Logic Specifications}},

author = {
Scott-Brown, James
 and 
Papachristodoulou, Antonis
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171183}

}
@inproceedings{
10.2312:eurp.20171184,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
Semi-automatic Colonic Content Analysis for Diagnostic}},

author = {
Ceballos, Víctor
 and 
Monclús, Eva
 and 
Vázquez, Pere-Pau
 and 
Bendezú, Álvaro
 and 
Mego, Marianela
 and 
Merino, Xavier
 and 
Azpiroz, Fernando
 and 
Navazo, Isabel
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171184}

}
@inproceedings{
10.2312:eurp.20171185,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
Visual Analysis of Geolocated Echo Chambers in Social Media}},

author = {
Hundt, Michael
 and 
Schneider, Bruno
 and 
El-Assady, Mennatallah
 and 
Keim, Daniel A.
 and 
Diehl, Alexandra
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171185}

}
@inproceedings{
10.2312:eurp.20171187,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
A High-Dimensional Data Quality Metric using Pareto Optimality}},

author = {
Post, Tobias
 and 
Wischgoll, Thomas
 and 
Hamann, Bernd
 and 
Hagen, Hans
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171187}

}
@inproceedings{
10.2312:eurp.20171188,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
Visualising Data with L2}},

author = {
McNeill, Graham
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171188}

}
@inproceedings{
10.2312:eurp.20171186,

booktitle = {
EuroVis 2017 - Posters},

editor = {
Anna Puig Puig and Tobias Isenberg
},
title = {{
Tangible Visual Analysis: Brushing in a Mixed-Reality Environment}},

author = {
Gracanin, Denis
 and 
Tasooji, Reza
 and 
Handosa, Mohamed
 and 
Matkovic, Kresimir
 and 
Waldner, Manuela
},
year = {
2017},

publisher = {
The Eurographics Association},


ISBN = {978-3-03868-044-4},

DOI = {
10.2312/eurp.20171186}

}

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    Structuring and Visualizing Knowledge in Soil Science
    (The Eurographics Association, 2017) Stößel, Bastian; Rabot, Eva; Richter, Felix; Weller, Ulrich; Vogel, Hans-Jörg; Anna Puig Puig and Tobias Isenberg
    Soil is a highly complex system. Myriads of articles are published each year on soil processes and properties, interactions between them and management practices influencing them. But, because of the sheer mass of information and the complexity of the system, it is hard to maintain an overview of reliable information on these interactions and their sensitivity to external forcings. To collect, structure and visualize scientific results on functional relationships, we develop a system based on a mySQL database, a soil thesaurus and two JavaScript-driven visualizations. The system is fueled by a comprehensive soil literature review and currently being organized as a community effort to improve the understanding of the soil system and support users in finding information on functional relationships and knowledge gaps in soil science.
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    EuroVis 2017 - Posters: Frontmatter
    (Eurographics Association, 2017) Puig Puig, Anna; Isenberg, Tobias;
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    Towards an Adaptive Framework for Real-Time Visualization of Streaming Big Data
    (The Eurographics Association, 2017) Khan, Amin M.; Gonçalves, Daniel; Leão, Duarte C.; Anna Puig Puig and Tobias Isenberg
    Big data poses new challenges and the need for flexible, interactive, and dynamic visualization techniques. Existing approaches, especially in enterprise data visualization with static graphics or interactive dashboards, are limited at the scale of big data, given the volume and diversity of data to consider. Streaming data further compounds on the problem with the need for real-time analytics and visualizations. On the data acquisition and collection side of things, traditional business analytics platforms are being extended with support for technologies such as Apache Spark for improvement in performance. However, for real-time data visualization for streaming data, it is necessary to go beyond Apache Spark with in-memory processing and new data visualization idioms. We propose a framework for the dynamic visualization of real-time streaming big data, resilient to both its volume and rate of change. Some of the different directions we explore include: (a) the efficient processing and consumption of streaming data; (b) the automated detection of relevant changes in the data stream, highlighting entities that merit a detailed analysis; (c) the choice of the best idioms to visualize big data, possibly leading to the development of new visualization idioms; (d) real-time visualization changes.
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    Memory Efficient Parallel Ray-casting Algorithm for Unstructured Grid Volume Rendering
    (The Eurographics Association, 2017) Kim, Duksu; Anna Puig Puig and Tobias Isenberg
    We propose a novel memory efficient parallel ray casting algorithm for unstructured grid. To reduce the high memory consumption of a previous work (i.e. Bunyk), we use a small size of local buffer for each thread to keep view dependent information for most recently visited faces. To improve the utilization efficiency of a local buffer, we propose an index-based hash function and a novel group traversal scheme. With our method, a small size buffer achieves a high hit ratio (i.e. utilization efficiency). As a result, we achieved a compatible performance with Bunyk while using less than 1% of memory space for view dependent face information. Also, our method shows even better performance than Bunyk for a large dataset since the buffer size is small enough to utilize CPU caches and our traversal scheme maximally takes advantage of the early ray termination optimization.
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    Diggersdiaries: Using Text Analysis to Support Exploration and Reading in a Large Document Collection
    (The Eurographics Association, 2017) Vilaplana, Jaume Nualart; Pérez-Montoro, Mario; Anna Puig Puig and Tobias Isenberg
    This work introduces Diggersdiaries, an web interface to a historical textual document collection. Digital collections are rich in content, but traditional search-based and faceted-based interfaces cannot represent their richness efficiently - e.g. for time-poor and casual browsing. This project addresses this challenge using data analysis (topic models) transparently integrated into reading-centric interface as a two-level browsing menu of semantic topics. The interface offers multiple exploration visualization tools. Its main contribution it is that the interface is fully reading-oriented. The tool is available at http://diggersdiaries.org
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    Evaluating Cognitive Load: Force-directed Layout vs. Chord Layout
    (The Eurographics Association, 2017) Moses, Ricarda; Humayoun, Shah Rukh; AlTarawneh, Ragaad; Ebert, Achim; Anna Puig Puig and Tobias Isenberg
    Understanding cognitive processes during the interaction with visualizations, specifically limitations of working memory, opens a new perspective on evaluations and encourages a more user-centric design approach. In a user study we evaluated two graph data visualization approaches (i.e., the force-directed layout and the Chord layout) using a cognitive load questionnaire to assess the three load types: intrinsic, extraneous, and germane load. Tasks were designed to encourage insight and sensemaking in the participants during the evaluation. This type of evaluation helps to assess the users' mental processes during sensemaking and graph reading in the underlying layouts. Further, such study findings would help visualization designers in choosing the appropriate layout type for their graph data.
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    BitConduite: Visualizing and Analyzing Activity on the Bitcoin Network
    (The Eurographics Association, 2017) Kinkeldey, Christoph; Fekete, Jean-Daniel; Isenberg, Petra; Anna Puig Puig and Tobias Isenberg
    BitConduite is a system we are developing for the visual exploration of financial activity on the Bitcoin network. Bitcoin is the largest digital pseudo-currency worldwide and its study is of increasing interest and importance to economists, bankers, policymakers, and law enforcement authorities. All financial transactions in Bitcoin are available in an openly accessible online ledger-the (Bitcoin) blockchain. Yet, the open data does not lend itself easily to an analysis of how different individuals and institutions-or entities on the network-actually use Bitcoin. Our system BitConduite offers a data transformation back end that gives us an entity-based access to the blockchain data and a visualization front end that supports a novel high-level view on transactions over time. In particular, it facilitates the exploration of activity through filtering and clustering interactions. We are developing our system with experts in economics and will conduct a formal user study to assess our approach of Bitcoin activity analysis.
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    Hypenet: Visualizing Dynamic Hypergraphs
    (The Eurographics Association, 2017) Valdivia, Paola; Buono, Paolo; Fekete, Jean-Daniel; Anna Puig Puig and Tobias Isenberg
    We present Hypenet, a novel technique to visualize dynamic hypergraphs. Such structures can model multiple types of data, such as computer networks with multiple destination addresses (multicast) or co-authorship networks with multiple authors per article. Hypenet visualizes the evolving topology of the hypergraph in a compact way, allowing users to detect patterns and inconsistencies. We describe our technique and show how it applies to the case of the history of publications of the Eurovis conference, revealing interesting patterns that can contribute to tell a story about data and create hypotheses.
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    Visualization of the Forever 27 Club
    (The Eurographics Association, 2017) Naik, Suchismita; Anna Puig Puig and Tobias Isenberg
    This visualization is the timeline of the popular musicians who died at the age of 27, often as a result of drug and alcohol abuse, violent means such as suicide or homicide. The timeline is distributed according to the cause of the death and year of death. The main goal of this visualization is to make users find their own stories through data and also to create awareness among a large user base. The inspiration of this visualization is a gramophone where the details are displayed according to the position of the pointer. The choice of this style of visualization is made to build more empathy towards the fans of these artists in order to glorify the short-lived lives of these great artists. Interfaces are designed so as to make the visualization more interactive by providing the filters such as genres and artist types, single-frame interactivity to maintain a consistent narration flow and having the detail-on-demands feature in order to reduce the cognitive load on the users.
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    Visualization Taxonomy based on the Specification of User's Goal and Data Dimensions
    (The Eurographics Association, 2017) Kaur, Pawandeep; König-Ries, Birgitta; Anna Puig Puig and Tobias Isenberg
    In this paper we present a visual task taxonomy based on user goals derived via our extensive study, different data dimensions, and available visualization types. This taxonomy will be used in the creation of a visualization system that will assist users in the selection of more appropriate visualizations based on the specification of the task they want to perform and the available data dimensions.
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    An Interactive Visual Representation to Explore Association with Hierarchical Social Circles
    (The Eurographics Association, 2017) Humayoun, Shah Rukh; Ali, Syed Hammad; AlTarawneh, Ragaad; Ebert, Achim; Anna Puig Puig and Tobias Isenberg
    Showing the relations between the contacts of an ego network, a subset of a large social network, and these contacts' associations to different social circles enables us exploring inside behavior of the underlying ego network. Normally, these social circles contain multiple hierarchies in them and many times the social circles at the second or lower level in the hierarchy are non-mutually exclusive. In this work, we propose an intuitive design solution to visualize an ego network with associated social circles, where the inside Chord diagram represents the contacts and their relations in an ego network while the outside arcs represent the associated social circles, keeping their hierarchies and the non-mutually exclusive property. Our HiSoC-Vis tool provides a number of interaction and filtering options to make the resulting visualization more intuitive and customizable.
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    Integrating Guided Clustering in Visual Analytics to Support Domain Expert Reasoning Processes
    (The Eurographics Association, 2017) Mathisen, Andreas; Nielsen, Matthias; Grønbæk, Kaj; Anna Puig Puig and Tobias Isenberg
    Recent research shows promise in combining Information Visualization (IV) and Machine Learning (ML) to assist data analysis performed by domain experts. However, this approach presents non-trivial challenges, in particular when the goal is to incorporate knowledge provided by the domain expert in underlying ML algorithms. To address these challenges, we present an analytical process and a visual analytics tool that uses visual queries to capture examples from the domain experts' existing reasoning process which will guide the subsequent clustering. Our work is motivated by a collaboration with personnel at the Danish Business Authority, who are interested in two types of insights: (1) On which data dimensions is a selected subset of companies different from the remaining companies? (2) Which other companies lie within the same multi-dimensional subspace? The poster will illustrate a real analysis scenario, where the presented analytic process allows auditors to use their knowledge of identified "suspicious" companies to kick-start the analysis for others.
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    DcPAIRS: A Pairs Plot Based Decision Support System
    (The Eurographics Association, 2017) Dimara, Evanthia; Valdivia, Paola; Kinkeldey, Christoph; Anna Puig Puig and Tobias Isenberg
    Visualizations designed to support multi-attribute decisions often use colors to encode the identity of the attributes. This approach facilitates mapping of attributes across multiple coordinated views but it has certain limitations: colors often communicate semantics (e.g., red stands for ''danger'') deemed to influence the user's preference, and qualitative color palettes are of limited scalability. We are currently developing a tool with an alternative approach, DCPAIRS: a pairs plot based decision making support tool that employs a compact overview of the decision space and uses visual encodings that communicate uncertainty and suboptimal preference elicitation. Instead of encoding the identity of attributes we use colors for user-authored annotations to support the decision making process. A use case scenario of a prospective undergraduate student choosing a university from the ''QS world university ranking'' dataset illustrates the functionality of the tool.
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    Interactive Lens for Effective Time-Series Animation
    (The Eurographics Association, 2017) Chen, Yang; Yang, Jing; Zhao, Ye; Anna Puig Puig and Tobias Isenberg
    We present a lens-based approach to explore animated data visualizations that involve time-series. The core of the approach lies in a novel combination of Lagrangian and Eulerian lenses, which allows us to leverage their complementary advantages to analyze data elements in complex spatial-temporal space. Film art techniques are employed to advance the way shifting the elements across different time and spaces. We illustrate the approach using animated bubble charts.
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    Power Efficiency of Volume Raycasting on Mobile Devices
    (The Eurographics Association, 2017) Heinemann, Moritz; Bruder, Valentin; Frey, Steffen; Ertl, Thomas; Anna Puig Puig and Tobias Isenberg
    Power efficiency is one of the most important factors for the development of compute-intensive applications in the mobile domain. In this work, we evaluate and discuss the power consumption of a direct volume rendering app based on raycasting on a mobile system. For this, we investigate the influence of a broad set of algorithmic parameters, which are relevant for performance and rendering quality, on the energy usage of the system. Additionally, we compare an OpenCL implementation to a variant using OpenGL. By means of a variety of examples, we demonstrate that numerous factors can have a significant impact on power consumption. In particular, we also discuss the underlying reasons for the respective effects.
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    DaaG: Visual Analytics Clustering Using Network Representation
    (The Eurographics Association, 2017) Alcaide, Daniel; Aerts, Jan; Anna Puig Puig and Tobias Isenberg
    Finding useful patterns in datasets has attracted considerable interest in the field of visual analytics. One of the most common solutions is the identification and representation of clusters. In this work, we propose a visual analytics clustering methodology for guiding the user in the exploration and detection of clusters in a dataset. We thereby combine the homological algebra with a graphical representation of the clustered dataset as a network into one coherent framework. Our approach entails displaying the results of the heuristics to users, providing a setting from which to start the exploration and data analysis.
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    A Visual Approach for Text Analysis Using Multiword Topics
    (The Eurographics Association, 2017) Mun, Seongmin; Desagulier, Guillaume; Lee, Kyungwon; Anna Puig Puig and Tobias Isenberg
    Topics in a text corpus include features and information; visualizing these topics can improve a user's understanding of the corpus. Topics can be broadly divided into two categories: those whose meaning can be described in one word and those whose meaning in expressed through a combination of words. The latter type can be described as multiword expressions and consists of a combination of different words. However, analysis of multiword topics requires systematic analysis to extract accurate topic results. Therefore, we propose a visual system that accurate extracts topic results with multiple word combinations. For this study, we utilize the text of 957 speeches from 43 U.S. presidents (from George Washington to Barack Obama) as corpus data. Our visual system is divided into two parts: First, our system refines the database by topic, including multiword topics. Through data processing, we systematically analyze the accurate extraction of multiword topics. In the second part, users can confirm the details of this result with a word cloud and simultaneously verify the result with the raw corpus. These two parts are synchronized and the desired value of N in the N-gram model, topics, and presidents examined can be altered. In this case study of U.S. presidential speech data, we verify the effectiveness and usability of our system.
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    Uncertainty Visualization of Stenotic Regions in Vascular Structures
    (The Eurographics Association, 2017) Ristovski, Gordan; Hahn, Horst K.; Linsen, Lars; Anna Puig Puig and Tobias Isenberg
    Stenosis refers to the thinning of the inner surface (lumen) of vascular structures. Detecting stenoses and correctly estimating their degree is crucial in clinical settings for proper treatment planning. Such a planning involves a visual assessment, which in case of vascular structures is frequently based on 3D visual representations of the vessels. However, since vessel segmentation is affected by various sources of errors and noise in the imaging and image processing pipeline, it is crucial to capture and visually convey the uncertainty in a 3D visual representation. We propose a novel approach for visualizing the shape deviation of different probability levels in vascular data, where the probability levels are computed from a probabilistic segmentation approach.
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    Using Graphs for Exposing the Underlying Competence Design of Academic Degrees
    (The Eurographics Association, 2017) Blasco-Soplon, Laia; Minguillón, Julià; Anna Puig Puig and Tobias Isenberg
    Academic degrees are usually presented with textual tables and lists, following a semester structure. This information is expected to help learners to create their own itineraries within a given degree, which may not be the case in a distance university, where learners may not take complete semesters. Furthermore, both tables and lists are useful to explain the contents of a specific degree, but they are limited for visualizing the relationships between the different subjects and the competences acquired and developed through them. In this paper we propose a new way to visualize an academic degree, equating subjects and competences as two complementary dimensions. We have applied this visualization to two degrees already offered by the Universitat Oberta de Catalunya and to another during its design phase, involving learners and degree managers, respectively.
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    Interactive Visualization of Massive Location Data using Multi-Scale Trajectories
    (The Eurographics Association, 2017) Bodt, Thomas De; Adams, Bart; Aerts, Jan; Anna Puig Puig and Tobias Isenberg
    Today location information on aircraft and vessels is collected worldwide and readily available to analysts. When analyzing such data for a large area or a long period of time, the sheer size of the dataset becomes a challenge. Especially when one wants to work interactively at both overview and detail scales. We present a scalable approach to visualize such data by treating it as a set of trajectories simplified at different error rates. When combined with tiling and GPU-based visualization, we can interactively and visually analyze a dataset of 1 billion position records on a workstation.
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    Visual Stratification for Epidemiological Analysis
    (The Eurographics Association, 2017) Matute, José; Linsen, Lars; Anna Puig Puig and Tobias Isenberg
    Investigating etiology of a disease depends on the combination of tacit medical knowledge and multivariate analysis on a wide array of collected data. Confounding variables may generate a bias when exploring disease determinants, thus, reducing the predictive capabilities of risk factors. Stratified analysis is widely used in epidemiological settings to reduce the effect of confounding factors. We propose a stratified visual analysis approach based on linear projections and interactions in a Star Coordinates Plot (SCP), where the segregation power of dimensions in multiple strata can be explored interactively. We apply our approach to gain insight into three epidemiological results using stratified analysis regarding the prevalence of sleep apnea within age and gender strata and the segregating power of well-defined epidemiological risk factors.
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    'Them again?'' Dynamic Communities in the Media
    (The Eurographics Association, 2017) Ren, Haolin; Viaud, Marie-Luce; Melançon, Guy; Anna Puig Puig and Tobias Isenberg
    Television, radio and the press invite people to publicly debate or discuss. Commonly enough, the audience experiences the ''Them again!'' impression, that is the impression to either ear the same stories being discussed or see the same actors and commentators on the medias. Conversely, politicians - among other public figures - may complain of not getting proper, or worse, biased coverage or presence in the media. Is this just an impression or is it a reality, at least partly?
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    MDS-based Visual Survey of Biological Data Visualization Techniques
    (The Eurographics Association, 2017) Kerren, Andreas; Kucher, Kostiantyn; Li, Yuan-Fang; Schreiber, Falk; Anna Puig Puig and Tobias Isenberg
    Data visualization is of increasing importance in the Biosciences. During the past 15 years, a great number of novel methods and tools for biological data visualization have been developed and published in various journals and conference proceedings. As a consequence, keeping an overview of state-of-the-art visualization research has become increasingly challenging for both biology researchers as well as visualization researchers. To address this challenge, we have reviewed visualization research for the Biosciences and created an interactive web-based visualization tool, the BioVis Explorer. BioVis Explorer allows the exploration of published visualization methods in interactive and intuitive ways, including faceted browsing and associations with related methods.
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    Visually Analyzing Parameter Influence on Optical Coherence Tomography Data in Ophthalmology
    (The Eurographics Association, 2017) Röhlig, Martin; Luboschik, Martin; Prakasam, Ruby Kala; Stachs, Oliver; Schumann, Heidrun; Anna Puig Puig and Tobias Isenberg
    Optical coherence tomography (OCT) enables noninvasive high-resolution imaging of the human retina and therefore, plays a fundamental role in detecting a wide range of ocular diseases. Yet, OCT data often vary in quality and show strong parameter dependencies. We propose a visual analysis approach to support users in understanding the influence of parameters on different aspects of the data. First, we outline the problem scope and derive requirements for a visual parameter analysis of OCT data. Second, we devise matched visual designs that disclose the impact of specific parameter values and the relationships between multiple parameter settings. With our systematic approach we aim at helping users in choosing suitable parameter settings and finding a balance between acquisition effort and data quality.
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    ConTraffic Visual Analytics in Support to Customs Risk-Analysis
    (The Eurographics Association, 2017) Poulymenopoulou, Mikaela; Tsois, Aris; Anna Puig Puig and Tobias Isenberg
    Customs risk analysis is crucial for detecting fraud and contraband goods in the massive flows of internationally traded goods. Most of non-bulk goods are transported in shipping containers and, as customs can control only about 2% of them, efficient customs risk analysis is crucial. In support to EU customs, the Joint Research Centre of the European Commission has developed the ConTraffic visual analytics research prototype. This paper presents the main architectural elements of the application and some visualization and user-interaction techniques selected to enable the route-based risk analysis of large number of shipping containers.
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    Visual Analysis of Magnetic Resonance Spectroscopy Imaging Data for the Study of Human Brain Tumors
    (The Eurographics Association, 2017) Jawad, Muhammad; Linsen, Lars; Anna Puig Puig and Tobias Isenberg
    Magnetic Resonance Spectroscopy Imaging (MRSI) is an in-vivo method for measuring metabolite concentration in various tissues. Typically, individual metabolites are examined in detail. We provide an interactive visualization tool that allows for the simultaneous analysis of all metabolite concentrations. The multi-dimensional data visualization is based on star coordinates interaction in a projected view. We derive a segmentation of the accompanying magnetic resonance image (MRI) to investigate the metabolite distribution within tissues including partial volume effect handling. Coordinated views between spatial slicebased visualizations and multidimensional metabolite spaces allow for the selection of individual voxels, certain anatomical regions, or groups of voxels with similar concentrations for a comparative analysis in the linked views as well as in further linked statistical plots. We apply our method to the analysis of brain tumors and surrounding tissue.
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    Visual Analytics of Global Parameters in Simulation Ensembles of ODE-based Excitable Network Dynamics
    (The Eurographics Association, 2017) Ngo, Quynh Quang; Hütt, Marc-Thorsten; Linsen, Lars; Anna Puig Puig and Tobias Isenberg
    The role of network topology on the dynamics in simulations that are executed on the network is a central question in the field of network science. However, the influence of the topology is affected by the global dynamical simulation parameters. To investigate this impact of the parameter settings, multiple simulation runs are executed with different settings. Moreover, since the outcome of a single simulation run also depends on the randomly chosen start configurations, multiple runs with the same settings are carried out, as well. We present a visual approach to analyze the role of topology in such an ensemble of simulation ensembles. We use the dynamics of an excitable network implemented in the form of a coupled ordinary differential equation (ODE) following the FitzHugh-Nagumo (FHN) model and modular network topologies.
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    Quantitative Comparison of Treemap Techniques for Time-Dependent Hierarchies
    (The Eurographics Association, 2017) Vernier, Eduardo Faccin; Comba, Joao L. D.; Telea, Alex C.; Anna Puig Puig and Tobias Isenberg
    Hierarchical data in which leaf nodes have associated attributes appear in several applications. Rectangular Treemaps (RTs) were designed to display this type of data by tightly packing cells representing the tree nodes, with additional information stored in the cell sizes and/or colors. For dynamic hierarchies, RTs have to obey several requirements regarding the optimal aspect ratio of cells, but also the stability of layout in presence of data changes. While static RTs studied the first requirement well, far less information is available on how RTs behave vs both requirements for dynamic data. We study how four known RT methods compare over several real-world dynamic hierarchies, and highlight how recent RT methods can be adapted to effectively handle optimal cell ratios and stability.
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    Projection Navigation In Extremely Large Datasets (PNIELD)
    (The Eurographics Association, 2017) Kruiger, J. F.; Telea, Alex C.; Hurter, Christophe; Anna Puig Puig and Tobias Isenberg
    We propose a framework for the exploration of large highdimensional datasets via multidimensional projections.
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    Responsive Data Visualisation
    (The Eurographics Association, 2017) Andrews, Keith; Smrdel, Aleš; Anna Puig Puig and Tobias Isenberg
    In responsive web design, web pages are assembled from flexible components which adapt to the characteristics of the display device. For web pages to be truly responsive, any charts or visualisations embedded within them must themselves be responsive. This paper looks at the principles of responsive web design as applied to web-based information visualisations. Approaches are presented through which four commonly used visualisations (line chart, bar chart, parallel coordinates, and scatterplot) can be made responsive.
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    Visualization of Temporal Logic Specifications
    (The Eurographics Association, 2017) Scott-Brown, James; Papachristodoulou, Antonis; Anna Puig Puig and Tobias Isenberg
    The desired behaviour of a system can be formally specified using a temporal logic, and used to check whether a candidate design meets this specification, or to automatically design a system that does. Such techniques are in principle applicable to a wide range of types of systems, but their current extent of use does not fulfill their potential. One limitation has been the difficulty of writing and reading formal specifications. We present preliminary work on a visual method of viewing and editing specifications that is intended to address this challenge.
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    Semi-automatic Colonic Content Analysis for Diagnostic
    (The Eurographics Association, 2017) Ceballos, Víctor; Monclús, Eva; Vázquez, Pere-Pau; Bendezú, Álvaro; Mego, Marianela; Merino, Xavier; Azpiroz, Fernando; Navazo, Isabel; Anna Puig Puig and Tobias Isenberg
    The analysis of the morphology and content of the gut is necessary in order to understand metabolic and functional gut activity and for diagnostic purposes. Magnetic resonance imaging (MRI) has become an important modality technique since it is able to visualize soft tissues using no ionizing radiation, and hence removes the need for any contrast agents. In the last few years, MRI of gastrointestinal function has advanced substantially, although scarcely any publication has been devoted to the analysis of the colon content. This paper presents a semi-automatic segmentation tool for the quantitative assessment of the unprepared colon from MRI images. This application has allowed for the analysis of the colon content in various clinical experiments. The results of the assessment have contributed to a better understanding of the functionality of the colon under different diet conditions. The last experiment carried out by medical doctors showed a marked influence of diet on colonic content, accounting for about 30% of the volume variations.
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    Visual Analysis of Geolocated Echo Chambers in Social Media
    (The Eurographics Association, 2017) Hundt, Michael; Schneider, Bruno; El-Assady, Mennatallah; Keim, Daniel A.; Diehl, Alexandra; Anna Puig Puig and Tobias Isenberg
    In news media, echo chambers refer to situations in which information is amplified or reinforced by communication and repetition. The characteristic of an echo chamber is, therefore, the absence of controversial discussions and a narrow set of opinions about a topic. We propose the use of Visual Analytics to describe spatiotemporal distributions of echo chambers using Twitter data, for specific geolocated events, such as concerts, strikes, demonstrations, etc. We analyze the echo chambers for Boston Marathon Bombing that took place on April 15, 2013. The social groups are displayed by a matrix view containing all connected components of the tweet mention graphs. To identify similar opinions, as well as, the diversity of topics in a discussion, we apply text classification and sentiment analysis. Lastly, we present initial findings based on real-world data.
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    A High-Dimensional Data Quality Metric using Pareto Optimality
    (The Eurographics Association, 2017) Post, Tobias; Wischgoll, Thomas; Hamann, Bernd; Hagen, Hans; Anna Puig Puig and Tobias Isenberg
    The representation of data quality within established high-dimensional data visualization techniques such as scatterplots and parallel coordinates is still an open problem. This work offers a scale-invariant measure based on Pareto optimality that is able to indicate the quality of data points with respect to the Pareto front. In cases where datasets contain noise or parameters that cannot easily be expressed or evaluated mathematically, the presented measure provides a visual encoding of the environment of a Pareto front to enable an enhanced visual inspection.
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    Visualising Data with L2
    (The Eurographics Association, 2017) McNeill, Graham; Anna Puig Puig and Tobias Isenberg
    L2 is a new compile-to-JavaScript language for data wrangling, analysis and visualisation. The language is used in its own interactive environment (desktop or browser-based); compiled code will run in any browser or Node.js. To visualise data, L2 uses high-level libraries for simple plots, but also makes it easy to create SVG or canvas-based visualisations from scratch. Here, we discuss the various approaches to visualising data in L2 and consider a simple example.
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    Tangible Visual Analysis: Brushing in a Mixed-Reality Environment
    (The Eurographics Association, 2017) Gracanin, Denis; Tasooji, Reza; Handosa, Mohamed; Matkovic, Kresimir; Waldner, Manuela; Anna Puig Puig and Tobias Isenberg
    Exploratory visual analysis helps scientists and domain experts gain insight into complex data sets. Tangible visual analysis can be used to bring interactive data exploration to non-expert users, such as visitors in science museums (or similar settings). Collaborative possibilities make it attractive for experts users, as well. We present a preliminary work on tangible brushing for visual analysis in a mixed reality environment. Mixed reality devices, such as Microsoft HoloLens, are blurring the barriers between the real and virtual environments. We can take advantage of these new technologies to provide a mixed reality based system for tangible visual analysis. We describe the main idea, the design principles, and the prototype development.