EuroVisPosters2017

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https://diglib.eg.org/handle/10.2312/2631437

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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.
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.
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.
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.
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
EuroVis 2017 - Posters: Frontmatter
(Eurographics Association, 2017) Puig Puig, Anna; Isenberg, Tobias;
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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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