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An exploration system to effectively analyze the visual metaphor used in sentiment visualization Inf. Visualization (IF 2.3) Pub Date : 2024-02-15 Hyoji Ha, Kwanghyuk Moon, Hyerim Joung, Hyegyeong Kim, Kyungwon Lee
In the field of data visualization, there has been a recent trend of using a complex type of visualization with a multidimensional structure or using several visualizations in parallel when summarizing the results of sentiment analysis. Although this trend may be useful for sophisticated sentiment analysis, such analysis is difficult for the general public and novice researchers. To address this issue
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An empirical study of counterfactual visualization to support visual causal inference Inf. Visualization (IF 2.3) Pub Date : 2024-02-07 Arran Zeyu Wang, David Borland, David Gotz
Counterfactuals – expressing what might have been true under different circumstances – have been widely applied in statistics and machine learning to help understand causal relationships. More recently, counterfactuals have begun to emerge as a technique being applied within visualization research. However, it remains unclear to what extent counterfactuals can aid with visual data communication. In
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ClustML: A measure of cluster pattern complexity in scatterplots learnt from human-labeled groupings Inf. Visualization (IF 2.3) Pub Date : 2024-01-30 Mostafa M Hamza, Ehsan Ullah, Abdelkader Baggag, Halima Bensmail, Michael Sedlmair, Michael Aupetit
Visual quality measures (VQMs) are designed to support analysts by automatically detecting and quantifying patterns in visualizations. We propose a new VQM for visual grouping patterns in scatterplots, called ClustML, which is trained on previously collected human subject judgments. Our model encodes scatterplots in the parametric space of a Gaussian Mixture Model and uses a classifier trained on human
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Visual analytics of soccer player performance using objective ratings Inf. Visualization (IF 2.3) Pub Date : 2024-01-12 Marina Evers, Adrian Derstroff, Simon Leistikow, Tom Schneider, Larissa Mallepree, Jan Stampke, Moritz Leisgang, Sebastian Sprafke, Melina Schuhl, Niklas Krefft, Felix Droese, Lars Linsen
The performance of soccer players is commonly rated by soccer experts for each match as well as over a tournament or during a season/year. However, these ratings are mostly subjective. We instead propose a visual analytics approach for a more objective, data-driven analysis of soccer players’ performances. We introduce data-driven ratings for various aspects, which can be combined by interactively
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TopoBERT: Exploring the topology of fine-tuned word representations Inf. Visualization (IF 2.3) Pub Date : 2023-05-01 Archit Rathore, Yichu Zhou, Vivek Srikumar, Bei Wang
Transformer-based language models such as BERT and its variants have found widespread use in natural language processing (NLP). A common way of using these models is to fine-tune them to improve th...
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Voronoi treemap in Manhattan distance and Chebyshev distance Inf. Visualization (IF 2.3) Pub Date : 2023-04-20 Yan Chao Wang, Yidan Xing, Jie Zhang
The ordinary Voronoi treemap generated based on the Euclidean distance function has the flexibility to slightly adjust the layout when visualizing time-varying hierarchical data for better visual q...
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The role of individual characteristics: How thinking style and domain expertise affect performances on visualization Inf. Visualization (IF 2.3) Pub Date : 2023-04-12 Stella D Tomasi, Jeanny Liu, Feng Cheng, Chaodong Han
Widely employed by innovative organizations, a well-designed simple data visualization has been shown to enhance user experience and aid in decision making; while a more embellished visualization m...
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Visualizing the recovery of patients in Critical Care Units Inf. Visualization (IF 2.3) Pub Date : 2023-03-21 Liz Stuart, Christopher Haynes, Kate Tantam, Roger Gardner, Marco A Palomino
This paper presents a detailed case study of the application of techniques from Information Visualization to data collected in Critical Care Units (CCUs). This data is heterogeneous and sometimes i...
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Is embodied interaction beneficial? A study on navigating network visualizations Inf. Visualization (IF 2.3) Pub Date : 2023-03-17 Helen H Huang, Hanspeter Pfister, Yalong Yang
Network visualizations are commonly used to analyze relationships in various contexts, such as social, biological, and geographical interactions. To efficiently explore a network visualization, the...
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TimberSleuth: Visual anomaly detection with human feedback for mitigating the illegal timber trade Inf. Visualization (IF 2.3) Pub Date : 2023-03-10 Debanjan Datta, Nathan Self, John Simeone, Amelia Meadows, Willow Outhwaite, Linda Walker, Niklas Elmqvist, Naren Ramkrishnan
Detecting illegal shipments in the global timber trade poses a massive challenge to enforcement agencies. The massive volume and complexity of timber shipments and obfuscations within international...
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VisRuler: Visual analytics for extracting decision rules from bagged and boosted decision trees Inf. Visualization (IF 2.3) Pub Date : 2023-01-18 Angelos Chatzimparmpas, Rafael M. Martins, Andreas Kerren
Bagging and boosting are two popular ensemble methods in machine learning (ML) that produce many individual decision trees. Due to the inherent ensemble characteristic of these methods, they typica...
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Providing visual analytics guidance through decision support Inf. Visualization (IF 2.3) Pub Date : 2023-01-05 Wenkai Han, Hans-Jörg Schulz
Guidance in visual analytics aims to support users in accomplishing their analytical goals and generating insights. Different approaches for guidance are widely adopted in many tools and frameworks...
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Large scale medical image online three-dimensional reconstruction based on WebGL using four tier client server architecture Inf. Visualization (IF 2.3) Pub Date : 2022-12-09 Wei Li, Shanshan Wang, Weidong Xie, Kun Yu, Chaolu Feng
The development of medical device technology has led to the rapid growth of medical imaging data. The reconstruction from two-dimensional images to three-dimensional volume visualization not only s...
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HyperCube4x: A viewport management system proposal Inf. Visualization (IF 2.3) Pub Date : 2022-11-30 Alessandro Rego de Lima, Diana Carneiro Machado de Carvalho, Tânia de Jesus Vilela da Rocha
This article presents a novel management and information visualization system proposal based on the tesseract, the 4D-hypercube. The concept comprises metaphors that mimic the tesseract geometrical...
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Visualization Resources: A Survey Inf. Visualization (IF 2.3) Pub Date : 2022-11-09 Xiaoxiao Liu, Mohammad S Alharbi, Jian Chen, Alexandra Diehl, Dylan Rees, Elif E Firat, Qiru Wang, Robert S Laramee
Visualization, a vibrant field for researchers, practitioners, and higher educational institutions, is growing and evolving very rapidly. Tremendous progress has been made since 1987, the year ofte...
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Compressing and interpreting word embeddings with latent space regularization and interactive semantics probing Inf. Visualization (IF 2.3) Pub Date : 2022-10-27 Haoyu Li, Junpeng Wang, Yan Zheng, Liang Wang, Wei Zhang, Han-Wei Shen
Word embedding, a high-dimensional (HD) numerical representation of words generated by machine learning models, has been used for different natural language processing tasks, for example, translati...
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Contextual in situ help for visual data interfaces Inf. Visualization (IF 2.3) Pub Date : 2022-09-09 Pramod Chundury, Mehmet Adil Yalçin, Jonathan Crabtree, Anup Mahurkar, Lisa M Shulman, Niklas Elmqvist
As the complexity of data analysis increases, even well-designed data interfaces must guide experts in transforming their theoretical knowledge into actual features supported by the tool. This chal...
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Visualisation of hierarchical multivariate data: Categorisation and case study on hate speech Inf. Visualization (IF 2.3) Pub Date : 2022-09-02 Ecem Kavaz, Anna Puig, Inmaculada Rodríguez, Reyes Chacón, David De-La-Paz, Adrià Torralba, Montserrat Nofre, Mariona Taule
Multivariate hierarchical data has an important role in many applications. To find the best visualisation that best fits a concrete data is crucial to explore and understand the relationships betwe...
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Interactive optimization of embedding-based text similarity calculations Inf. Visualization (IF 2.3) Pub Date : 2022-08-03 Daniel Witschard, Ilir Jusufi, Rafael M Martins, Kostiantyn Kucher, Andreas Kerren
Comparing text documents is an essential task for a variety of applications within diverse research fields, and several different methods have been developed for this. However, calculating text sim...
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Emotion visualization system based on physiological signals combined with the picture and scene Inf. Visualization (IF 2.3) Pub Date : 2022-07-01 Wenqian Lin, Chao Li, Yunjian Zhang
In this paper, the system of emotion visualization and the system of emotion recognition and judgment are established. Twenty subjects were selected for the test on the above two systems, meanwhile...
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ATOVis – A visualisation tool for the detection of financial fraud Inf. Visualization (IF 2.3) Pub Date : 2022-06-07 Catarina Maçãs, Evgheni Polisciuc, Penousal Machado
Fraud detection is related to the suppression of possible financial losses for institutions and their clients. It is a task of high responsibility and, therefore, an important phase of the decision...
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VisAC: An interactive tool for visual analysis of consanguinity in the ancestry of individuals Inf. Visualization (IF 2.3) Pub Date : 2022-05-21 José Borges
Genealogy studies are growing in popularity, and researchers are increasingly using visualization methods to summarize and communicate their findings. A family tree is a visual representation of fa...
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A comparative analysis of matrix reordering algorithms regarding canonical data patterns Inf. Visualization (IF 2.3) Pub Date : 2022-04-27 Matheus Peron Baroni, Celmar Guimarães da Silva
Matrix reordering is an Information Visualization topic that aims to study how to reveal information hidden within matrix-based visualizations, through appropriate reordering of its rows and column...
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Visualizing the invisible: User-centered design of a system for the visualization of flows and concentrations of particles in the air Inf. Visualization (IF 2.3) Pub Date : 2022-04-21 Olivier Christmann, Sylvain Fleury, Jérôme Migaud, Vincent Raimbault, Benjamin Poussard, Thibaut Guitter, Geoffrey Gorisse, Simon Richir
This study presents two experiments addressing the representation of scientific data, in particular airflows, with a user-centered design approach. Our objective is to provide users feedback to dat...
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Visual cluster separation using high-dimensional sharpened dimensionality reduction Inf. Visualization (IF 2.3) Pub Date : 2022-04-21 Youngjoo Kim, Alexandru C Telea, Scott C Trager, Jos BTM Roerdink
Applying dimensionality reduction (DR) to large, high-dimensional data sets can be challenging when distinguishing the underlying high-dimensional data clusters in a 2D projection for exploratory a...
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Interactive visualization literacy: The state-of-the-art Inf. Visualization (IF 2.3) Pub Date : 2022-03-10 Elif E Firat, Alark Joshi, Robert S Laramee
With the advent of novel visualization techniques to convey complex information, data visualization literacy is growing in importance. Two facets of literacy are user understanding and the discovery of visual patterns with the help of graphical representations. The research literature on visualization literacy provides useful guidance and important opportunities for further studies in this field. This
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Integrating annotations into multidimensional visual dashboards Inf. Visualization (IF 2.3) Pub Date : 2022-03-07 Sriram Karthik Badam, Senthil Chandrasegaran, Niklas Elmqvist
Multidimensional data is often visualized using coordinated multiple views in an interactive dashboard. However, unlike in infographics where text is often a central part of the presentation, there is currently little knowledge of how to best integrate text and annotations in a visualization dashboard. In this paper, we explore a technique called FacetNotes for presenting these textual annotations
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MING: An interpretative support method for visual exploration of multidimensional data Inf. Visualization (IF 2.3) Pub Date : 2022-03-02 Benoît Colange, Laurent Vuillon, Sylvain Lespinats, Denys Dutykh
Dimensionality reduction enables analysts to perform visual exploration of multidimensional data with a low-dimensional map retaining as much as possible of the original data structure. The interpretation of such a map relies on the hypothesis of preservation of neighborhood relations. Namely, distances in the map are assumed to reflect faithfully dissimilarities in the data space, as measured with
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Design guidelines for narrative maps in sensemaking tasks Inf. Visualization (IF 2.3) Pub Date : 2022-03-02 Brian Felipe Keith Norambuena, Tanushree Mitra, Chris North
Narrative sensemaking is a fundamental process to understand sequential information. Narrative maps are a visual representation framework that can aid analysts in their narrative sensemaking process. Narrative maps allow analysts to understand the big picture of a narrative, uncover new relationships between events, and model the connection between storylines. We seek to understand how analysts create
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HFTViz: Visualization for the exploration of high frequency trading data Inf. Visualization (IF 2.3) Pub Date : 2021-12-29 Javad Yaali, Vincent Grégoire, Thomas Hurtut
High Frequency Trading (HFT), mainly based on high speed infrastructure, is a significant element of the trading industry. However, trading machines generate enormous quantities of trading messages that are difficult to explore for financial researchers and traders. Visualization tools of financial data usually focus on portfolio management and the analysis of the relationships between risk and return
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Virtual-Reality graph visualization based on Fruchterman-Reingold using Unity and SteamVR Inf. Visualization (IF 2.3) Pub Date : 2021-12-15 Gerd Kortemeyer
The paper describes a method for the immersive, dynamic visualization of undirected, weighted graphs. Using the Fruchterman-Reingold method, force-directed graphs are drawn in a Virtual-Reality system. The user can walk through the data, as well as move vertices using controllers, while the network display rearranges in realtime according to Newtonian physics. In addition to the physics behind the
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Community Fabric: Visualizing communities and structure in dynamic networks Inf. Visualization (IF 2.3) Pub Date : 2021-10-29 Evan Ezell, Seung-Hwan Lim, David Anderson, Robert Stewart
We present Community Fabric, a novel visualization technique for simultaneously visualizing communities and structure within dynamic networks. In dynamic networks, the structure of the network is continuously evolving throughout time and these underlying topological shifts tend to lead to communal changes. Community Fabric helps the viewer more easily interpret and understand the interplay of structural
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Topology-aware space distortion for structured visualization spaces Inf. Visualization (IF 2.3) Pub Date : 2021-10-25 Weihang Wang, Sriram Karthik Badam, Niklas Elmqvist
We propose topology-aware space distortion (TASD), a family of interactive layout techniques for non-linearly distorting geometric space based on user attention and on the structure of the visual representation. TASD seamlessly adapts the visual substrate of any visualization to give more screen real estate to important regions of the representation at the expense of less important regions. In this
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PeaGlyph: Glyph design for investigation of balanced data structures Inf. Visualization (IF 2.3) Pub Date : 2021-10-10 Kenan Koc, Andrew Stephen McGough, Sara Johansson Fernstad
For many data analysis tasks, such as the formation of well-balanced groups for a fair race or collaboration in learning settings, the balancing between data attributes is at least as important as the actual values of items. At the same time, comparison of values is implicitly desired for these tasks. Even with statistical methods available to measure the level of balance, human judgment, and domain
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Improved interactive color visualization approach for hyperspectral images Inf. Visualization (IF 2.3) Pub Date : 2021-09-24 Haijun Yu, Shengyang Li
Hyperspectral images (HSIs) have become increasingly prominent as they can maintain the subtle spectral differences of the imaged objects. Designing approaches and tools for analyzing HSIs presents a unique set of challenges due to their high-dimensional characteristics. An improved color visualization approach is proposed in this article to achieve communication between users and HSIs in the field
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Exploring, browsing and interacting with multi-level and multi-scale dynamics of knowledge Inf. Visualization (IF 2.3) Pub Date : 2021-09-23 Quentin Lobbé, Alexandre Delanoë, David Chavalarias
The ICT revolution has given birth to a world of digital traces. A wide number of knowledge-driven domains like science are daily fueled by unlimited flows of textual contents. In order to navigate across these growing constellations of words, interdisciplinary innovations are emerging at the crossroad between social and computational sciences. In particular, complex systems approaches make it now
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Which emphasis technique to use? Perception of emphasis techniques with varying distractors, backgrounds, and visualization types Inf. Visualization (IF 2.3) Pub Date : 2021-09-22 Aristides Mairena, Carl Gutwin, Andy Cockburn
Emphasis effects are visual changes that make data elements distinct from their surroundings. Designers may use computational saliency models to predict how a viewer’s attention will be guided by a specific effect; however, although saliency models provide a foundational understanding of emphasis perception, they only cover specific visual effects in abstract conditions. To address these limitations
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HyperStorylines: Interactively untangling dynamic hypergraphs Inf. Visualization (IF 2.3) Pub Date : 2021-09-18 Vanessa Peña-Araya, Tong Xue, Emmanuel Pietriga, Laurent Amsaleg, Anastasia Bezerianos
We present the design and evaluation of HyperStorylines, a technique that generalizes Storylines to visualize the evolution of relationships involving multiple types of entities such as, for example, people, locations, and companies. Datasets which describe such multi-entity relationships are often modeled as hypergraphs, that can be difficult to visualize, especially when these relationships evolve
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Optimal layout of stacked graph for visualizing multidimensional financial time series data Inf. Visualization (IF 2.3) Pub Date : 2021-09-14 Yutian He, Hongjun Li
In the era of big data, the analysis of multi-dimensional time series data is one of the important topics in many fields such as finance, science, logistics, and engineering. Using stacked graphs for visual analysis helps to visually reveal the changing characteristics of each dimension over time. In order to present visually appealing and easy-to-read stacked graphs, this paper constructs the minimum
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STFT-LDA: An algorithm to facilitate the visual analysis of building seismic responses Inf. Visualization (IF 2.3) Pub Date : 2021-08-21 Zhenge Zhao, Danilo Motta, Matthew Berger, Joshua A Levine, Ismail B Kuzucu, Robert B Fleischman, Afonso Paiva, Carlos Scheidegger
Civil engineers use numerical simulations of a building’s responses to seismic forces to understand the nature of building failures, the limitations of building codes, and how to determine the latter to prevent the former. Such simulations generate large ensembles of multivariate, multiattribute time series. Comprehensive understanding of this data requires techniques that support the multivariate
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Predicting intent behind selections in scatterplot visualizations Inf. Visualization (IF 2.3) Pub Date : 2021-08-18 Kiran Gadhave, Jochen Görtler, Zach Cutler, Carolina Nobre, Oliver Deussen, Miriah Meyer, Jeff M. Phillips, Alexander Lex
Predicting and capturing an analyst’s intent behind a selection in a data visualization is valuable in two scenarios: First, a successful prediction of a pattern an analyst intended to select can be used to auto-complete a partial selection which, in turn, can improve the correctness of the selection. Second, knowing the intent behind a selection can be used to improve recall and reproducibility. In
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Effects of screen-responsive visualization on data comprehension Inf. Visualization (IF 2.3) Pub Date : 2021-08-18 Sriram Karthik Badam, Niklas Elmqvist
Visualization interfaces designed for heterogeneous devices such as wall displays and mobile screens must be responsive to varying display dimensions, resolution, and interaction capabilities. In this paper, we report on two user studies of visual representations for large versus small displays. The goal of our experiments was to investigate differences between a large vertical display and a mobile
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StoryFacets: A design study on storytelling with visualizations for collaborative data analysis Inf. Visualization (IF 2.3) Pub Date : 2021-08-15 Deokgun Park, Mohamed Suhail, Minsheng Zheng, Cody Dunne, Eric Ragan, Niklas Elmqvist
Tracking the sensemaking process is a well-established practice in many data analysis tools, and many visualization tools facilitate overview and recall during and after exploration. However, the resulting communication materials such as presentations or infographics often omit provenance information for the sake of simplicity. This unfortunately limits later viewers from engaging in further collaborative
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VNLP: Visible natural language processing Inf. Visualization (IF 2.3) Pub Date : 2021-08-13 Mohammad Alharbi, Matthew Roach, Tom Cheesman, Robert S Laramee
In general, Natural Language Processing (NLP) algorithms exhibit black-box behavior. Users input text and output are provided with no explanation of how the results are obtained. In order to increase understanding and trust, users value transparent processing which may explain derived results and enable understanding of the underlying routines. Many approaches take an opaque approach by default when
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Sanguine: Visual analysis for patient blood management Inf. Visualization (IF 2.3) Pub Date : 2021-08-02 Haihan Lin, Ryan A Metcalf, Jack Wilburn, Alexander Lex
Blood transfusion is a frequently performed medical procedure in surgical and nonsurgical contexts. Although it is often necessary or even life-saving, it has been identified as one of the most overused procedures in hospitals. Unnecessary transfusions not only waste resources but can also be detrimental to patient outcomes. Patient blood management (PBM) is the clinical practice of optimizing transfusions
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MuzLink: Connected beeswarm timelines for visual analysis of musical adaptations and artist relationships Inf. Visualization (IF 2.3) Pub Date : 2021-07-30 François Lévesque, Thomas Hurtut
The rise of open data in the cultural domain is democratizing access to complex datasets usually presented as large multivariate and multilayered graphs. However, the exploration of such datasets is challenging for laypersons. The objective of this work is to develop and evaluate a new method for exploring and understanding a specific type of multilayered graph that combines a large bipartite graph
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CoSEP: A compound spring embedder layout algorithm with support for ports Inf. Visualization (IF 2.3) Pub Date : 2021-07-19 Alihan Okka, Ugur Dogrusoz, Hasan Balci
This paper describes a new automatic layout algorithm named CoSEP for compound graphs with port constraints. The algorithm works by extending the physical model of a previous algorithm named CoSE by defining additional force types and heuristics for constraining edges to connect to certain user-defined locations on end nodes. Similar to its predecessor, CoSEP also accounts for non-uniform node dimensions
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Not just a pretty picture: Scientific fact visualisation styles, preferences, confidence and recall Inf. Visualization (IF 2.3) Pub Date : 2021-07-16 Erin I Walsh, Ginny M Sargent, Will J Grant
Visuals are often used to enhance learning of scientific information. The recent emergence and popularity of comic-style instruction books for adults, such as the ‘manga guide to …’, shows the possibility of comic style visualisations for the communication of science with adults. This study investigates whether the addition and style of visual accompaniment of scientific information, as used in comic
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PrAVA: Preprocessing profiling approach for visual analytics Inf. Visualization (IF 2.3) Pub Date : 2021-07-02 Alessandra Maciel Paz Milani, Lucas Angelo Loges, Fernando Vieira Paulovich, Isabel Harb Manssour
To accommodate the demands of a data-driven society, we have expanded our ability to collect and store data, develop sophisticated algorithms, and generate elaborated visual representations of the data analysis process outcomes. However, data preprocessing, as the activity of transforming the raw data into an appropriate format for subsequent analysis, is still a challenging part of this process. Although
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Visualisation of law and legal Process: An opportunity missed Inf. Visualization (IF 2.3) Pub Date : 2021-05-12 Scott McLachlan, Lisa C Webley
Visual representation of the law and legal process can aid in recall and discussion of complicated legal concepts, yet is a skill rarely taught in law schools. This work investigates the use of flowcharts and similar process-oriented diagrams in contemporary legal literature through a literature review and concept-based content analysis. Information visualisations (infovis) identified in the literature
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The missing path: Analysing incompleteness in knowledge graphs Inf. Visualization (IF 2.3) Pub Date : 2021-02-22 Marie Destandau, Jean-Daniel Fekete
Knowledge Graphs (KG) allow to merge and connect heterogeneous data despite their differences; they are incomplete by design. Yet, KG data producers need to ensure the best level of completeness, as far as possible. The difficulty is that they have no means to distinguish cases where incomplete entities could and should be fixed. We present a new visualization tool: The Missing Path, to support them
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Linking unstructured evidence to structured observations Inf. Visualization (IF 2.3) Pub Date : 2021-01-14 Manuela Waldner, Thomas Geymayer, Dieter Schmalstieg, Michael Sedlmair
Many professionals, like journalists, writers, or consultants, need to acquire information from various sources, make sense of this unstructured evidence, structure their observations, and finally create and deliver their product, such as a report or a presentation. In formative interviews, we found that tools allowing structuring of observations are often disconnected from the corresponding evidence
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Data and visual displays in the Journal of Ecology 1996–2016 Inf. Visualization (IF 2.3) Pub Date : 2020-12-18 Alon Friedman
Scholars in scientific disciplines face unique challenges in the creation of visualizations, especially in publications that require insights derived from analyses to be visually displayed. The literature on visualizations describes different techniques and best practices for the creation of graphs. However, these techniques have not been used to evaluate the impact of visualizations in academic publications
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Out-of-sample data visualization using bi-kernel t-SNE Inf. Visualization (IF 2.3) Pub Date : 2020-12-08 Haili Zhang, Pu Wang, Xuejin Gao, Yongsheng Qi, Huihui Gao
T-distributed stochastic neighbor embedding (t-SNE) is an effective visualization method. However, it is non-parametric and cannot be applied to steaming data or online scenarios. Although kernel t...
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Stable visualization of connected components in dynamic graphs Inf. Visualization (IF 2.3) Pub Date : 2020-11-24 Emilio Di Giacomo, Walter Didimo, Michael Kaufmann, Giuseppe Liotta
One of the primary goals of many systems for the visual analysis of dynamically changing networks is to maintain the stability of the drawing throughout the sequence of graph changes. We investigat...
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A survey of tag clouds as tools for information retrieval and content representation Inf. Visualization (IF 2.3) Pub Date : 2020-11-08 Úrsula Torres Parejo, Jesús R Campaña, M Amparo Vila, Miguel Delgado
Tag clouds are tools that have been widely used on the Internet since their conception. The main applications of these textual visualizations are information retrieval, content representation and b...
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GoCrystal: A gamified visual analytics tool for analysis and visualization of atomic configurations and thermodynamic energy models Inf. Visualization (IF 2.3) Pub Date : 2020-07-20 Haeyong Chung, Santhosh Nandhakumar, Gopinath Polasani Vasu, Austin Vickers, Eunseok Lee
In this article, we present GoCrystal, a new visual analytics tool for analysis and visualization of atomic configurations and thermodynamic energy models. GoCrystal’s primary objective is to support the visual analytics tasks for finding and understanding favorable atomic patterns in a lattice using gamification. We believe the performance of visual analytics tasks can be improved by employing gamification
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A comparative user study of visualization techniques for cluster analysis of multidimensional data sets Inf. Visualization (IF 2.3) Pub Date : 2020-07-04 Elio Ventocilla, Maria Riveiro
This article presents an empirical user study that compares eight multidimensional projection techniques for supporting the estimation of the number of clusters, k , embedded in six multidimensional data sets. The selection of the techniques was based on their intended design, or use, for visually encoding data structures, that is, neighborhood relations between data points or groups of data points
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Documentary narrative visualization: Features and modes of documentary film in narrative visualization Inf. Visualization (IF 2.3) Pub Date : 2020-07-03 Judd D Bradbury, Rosanna E Guadagno
Documentary narrative visualization is a data visualization approach using the features of documentary film. Researchers in the field of visualization are searching for better methods of constructing narratives from data sets. In this article, we explore the structure and techniques of documentary film and how they apply to the practice of constructing narrative visualization with video. We review
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Eccentric pie charts and an unusual pie cutting Inf. Visualization (IF 2.3) Pub Date : 2020-06-30 Sándor Bozóki
The eccentric pie chart, a generalization of the traditional pie chart is introduced. An arbitrary point is fixed within the circle, and rays are drawn from it. A sector is bounded by a pair of neighboring rays and the arc between them. Eccentric pie charts have the potential of visualizing multiple sets of data, especially for small numbers of items/features. The calculations of the area-proportional