Browsing by Author "Pham, Vung"

Now showing 1 - 4 of 4
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    DualNetView: Dual Views for Visualizing the Dynamics of Networks
    (The Eurographics Association, 2020) Pham, Vung; Nguyen, V. T. Ngan; Dang, Tommy; Turkay, Cagatay and Vrotsou, Katerina
    The force-directed layout is a popular visual method for revealing network structures, such as clusters and important vertices. However, it is not capable of representing temporal patterns, such as how clusters/communities evolve. Dynamic network visualizations trade the overall structures for temporal relationships. In this paper, we present a dual view framework for capturing both overall structures and temporal patterns within networks. The linked supplemental views utilize the strengths of both visualization techniques to provide useful insights into the given networks. To demonstrate the usefulness of our proposed dual views, we provide three use cases of dynamic networks: computer networks communications, activities of suspicious processes in computer systems, and social networks.
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    ScagnosticsJS: Extended Scatterplot Visual Features for the Web
    (The Eurographics Association, 2020) Pham, Vung; Dang, Tommy; Wilkie, Alexander and Banterle, Francesco
    Scagnostics is a set of features that characterizes the data distribution in a scatterplot. These visual features have been used in various applications to detect unusual correlations of bivariate data. However, there is no formally published implementation for 3D or higher. This project aims to provide the Scagnostics implementation in JavaScript, called ScagnosticsJS, and also extend these measures for higher dimensional scattered points. We also present a Scagnostics exploration webpage, which makes the underlying algorithms transparent to users.
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    SoilScanner: 3D Visualization for Soil Profiling using Portable X-ray Fluorescence
    (The Eurographics Association, 2020) Pham, Vung; Weindorf, David; Dang, Tommy; Dutta, Soumya and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk
    Soil scientists perform similar types of exploratory analysis repeatedly, such as generating the spatial distribution of chemical elements. The soil analysis process is time-consuming (may take days or weeks), labor-intensive (involving many people with different expertise for data collection, measurements, visual representation, and data analysis), and involving various tools (from traditional software, such as Microsoft Excel, to some complicated packages such as ArcGIS and MatLab). Inspired by medical scanning, this paper proposes a 3D visual solution, which can be generated via a web interface, allowing Soil scientists to perform on-the-field analysis. Our visualization prototype, named SoilScanner, supports a full range of interactive operations, such as ranking, filtering, brushing and linking, and detail on demand. We also demonstrated the usability of our SoilScanner visualizations on the soil profiles in West Texas, USA, collected via portable X-ray fluorescence spectrometers.
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    WordStream: Interactive Visualization for Topic Evolution
    (The Eurographics Association, 2019) Dang, Tommy; Nguyen, Huyen N.; Pham, Vung; Johansson, Jimmy and Sadlo, Filip and Marai, G. Elisabeta
    This paper introduces WordStream, an interactive visual tool for the demonstration of topic evolution. Our approach utilizes the two popular techniques. Word clouds are designed to give an engaging visualization of text via font sizes and colors, while stacked graphs are a common method for visualizing topic evolution. In particular, WordStream emphasizes essential terms chronologically and spatially. To show the usefulness of WordStream, we demonstrate its applications on various data sets, including the Huffington Post and IEEE VIS publications.