Article
Computer Science, Software Engineering
Alexandra Lee, Daniel Archambault, Miguel A. Nacenta
Summary: Visual analysis of dynamic networks can be challenging, especially when comparing disjoint timeslices. Interactive timeslicing shows benefits for comparing distant time points, but less effectiveness for analyzing contiguous time intervals. These findings highlight the importance of finding the most suitable interactive visualization method for different tasks related to dynamic networks.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Computer Science, Cybernetics
Katerina Vitsaxaki, Stavroula Ntoa, George Margetis, Nicolas Spyratos
Summary: This paper proposes and implements a tool for accessing, analyzing, and visually exploring large relational databases and data warehouses. The tool represents the database as a graph and allows users to define analytic queries through a user interface, which are then translated into SQL group-by queries. The tool also provides visualization of the analysis results and allows users to interact with the visualizations to explore the database content.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Mathematics, Applied
Stefan Buschmann, Peter Hoffmann, Ankit Agarwal, Norbert Marwan, Thomas Nocke
Summary: This paper introduces Geo-Temporal eXplorer (GTX), a GPU-based tool for visual analytics of large geo-referenced complex networks in the climate research domain. It discusses solutions for interactive visual analysis of various types of large complex networks, including time-dependent, multi-scale, and multi-layered ensemble networks. The GTX tool supports heterogeneous tasks and provides interactive GPU-based solutions for real-time processing, analysis, and visualization of large network data.
Article
Computer Science, Software Engineering
Patrick Reipschlager, Tamara Flemisch, Raimund Dachselt
Summary: This study combines large interactive displays with personal head-mounted Augmented Reality (AR) to enhance information visualization for data exploration and analysis. By introducing a design space including spatial alignment in AR space, augmented visualization parts, and personal view display in AR, the study proposes various techniques to address typical visualization problems and demonstrates potential in exploring and understanding multivariate data.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Computer Science, Artificial Intelligence
Richen Liu, Min Gao, Lijun Wang, Xiaohan Wang, Yuzhe Xiang, Aolin Zhang, Jiazhi Xia, Yi Chen, Siming Chen
Summary: Immersive techniques, such as virtual reality, augmented reality, and mixed reality, provide immersive experience using immersive displays. While most methods focus on visualizing scientific data, this survey explores the interactive information visualization (InfoVis) in immersive environments. In the era of data explosion, the traditional 2D space fails to convey abstract information intuitively, and desktop-based 3D InfoVis leads to visual conflict due to limitations. This survey summarizes interactive techniques in immersive InfoVis and categorizes abstract information data types, discusses visual presentation, and describes immersive applications.
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS
(2022)
Article
Computer Science, Theory & Methods
Hugo B. Lima, Carlos G. R. Dos Santos, Bianchi S. Meiguins
Summary: Music Information Research (MIR) involves modeling and understanding music through visualizations. Papers on music visualization are categorized based on input features, visualized aspects, InfoVis techniques, interaction provided, and user evaluations, offering opportunities for identifying trends and new research directions in the MIR and InfoVis community.
ACM COMPUTING SURVEYS
(2021)
Article
Computer Science, Information Systems
Dhruv Sehnan, Vasu Goel, Sarah Masud, Chhavi Jain, Vikram Goyal, Tanmoy Chakraborty
Summary: This article introduces a tool called DiVA, which provides a scalable web interface and extendable APIs for analyzing different diffusion trends on networks. DiVA stands out from other available interfaces by allowing simultaneous comparison of two competing diffusion models and comparison with ground-truth results, facilitating a coherent understanding of real-world scenarios. Through a user study, it was found that evaluators had a seamless user experience, particularly when analyzing diffusion on large networks.
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA
(2023)
Article
Computer Science, Software Engineering
Benedikt Mayer, Nastasja Steinhauer, Bernhard Preim, Monique Meuschke
Summary: Large-scale issues such as the COVID-19 pandemic, the war against Ukraine, and climate change have brought attention to visual storytelling with data in online journalism, confirming its effectiveness and relevance. However, there is limited research on interactive visual data stories with a spatio-temporal context. This study proposes a design space and analyzes 130 collected web-based visual data stories to understand common techniques used in conveying complex information in a comprehensible way.
COMPUTER GRAPHICS FORUM
(2023)
Article
Computer Science, Software Engineering
Oskar Elek, Joseph N. Burchett, J. Xavier Prochaska, Angus G. Forbes
Summary: Polyphorm is an interactive visualization and model fitting tool that provides a novel approach for investigating cosmological datasets, inspired by the behavior of Physarum polycephalum. By extrapolating from sparse datasets and using interactive simulation, researchers can form hypotheses about the data and analyze a wide range of other data effectively.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Computer Science, Software Engineering
Stefanie Zollmann, Tobias Langlotz, Raphael Grasset, Wei Hong Lo, Shohei Mori, Holger Regenbrecht
Summary: This article provides a taxonomy of existing works on visualization techniques in Augmented Reality, aiming to give researchers and developers without an in-depth background in AR the necessary information to apply visualization techniques in AR environments successfully.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Computer Science, Interdisciplinary Applications
Aleksandar Anzel, Dominik Heider, Georges Hattab
Summary: This study proposes juxtaposed Taylor and Mutual Information Diagrams, which combine statistics, information theory, and data visualization, to help track and summarize the performance of complex models. The library provides interactive implementation of these diagrams and supports both continuous and categorical attributes.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Article
Biochemical Research Methods
Jakob Willforss, Valentina Siino, Fredrik Levander
Summary: OmicLoupe software provides over 15 interactive cross-dataset visualizations for rapid exploration and comparison of omics data. Through application in three different studies, it has shown effectiveness in detecting data limitations and biological trends. This tool can help researchers gain a comprehensive understanding of data across different omic layers.
BMC BIOINFORMATICS
(2021)
Article
Computer Science, Hardware & Architecture
G. G. Brinkmann, K. F. D. Rietveld, F. J. Verbeek, F. W. Takes
Summary: This paper presents a methodology for visualizing large real-world networks on a high-resolution tiled display system. By utilizing multiple GPUs and distributed rendering approach, the proposed method achieves real-time visualization and interactive performance improvement.
Article
Computer Science, Interdisciplinary Applications
Christa Kelleher, Anna Braswell
Summary: Scientific visualizations are essential for communicating results, especially in the context of large datasets. Considerations for visualization of big data include decisions on aggregation, grouping, and complex data representation in multi-dimensional space, along with examples and recommendations for effective visualization.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Computer Science, Software Engineering
Dana K. Urribarri, Martin L. Larrea
Summary: This paper presents an improved visualization technique for the comparison of large meteorological datasets. The technique is designed to better support users in the data comparison process.
COMPUTERS & GRAPHICS-UK
(2022)