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Welcome to the proceedings of the IEEE Pacific Visualization Symposium 2017 (IEEE PacificVis 2017), tenth in a series of successful events that have been sponsored by the IEEE Computer Society Visualization and Graphics Technical Committee (VGTC). Past IEEE PacificVis symposia were held in Kyoto (2008), Beijing (2009), Taipei (2010), Hong Kong (2011), Songdo (2012), Sydney (2013), Yokohama (2014),...
To solve the world's challenges requires not only advancing computer science and big data analytics but requires new analysis and decision-making environments that effectively couple human decision making with advanced, guided analytics in a human-computer collaborative discourse and decision making (HCCD). While many researchers and companies are focusing solely on Big Data Analytics to harness the...
The field of information visualization studies the interactive visual representations of data to reinforce human cognition, thereby facilitate the discovery of new tacit knowledge and even amplify human intelligence. Augmented reality (AR) shares the same objective and it can be treated as one particular form of information visualization where the data are both the real objects and the augmentations...
Unlike the conventional first-order network (FoN), the higher-order network (HoN) provides a more accurate description of transitions by creating additional nodes to encode higher-order dependencies. However, there exists no visualization and exploration tool for the HoN. For applications such as the development of strategies to control species invasion through global shipping which is known to exhibit...
Analyzing social network data helps sociologists understand the behaviors of individuals and groups as well as the relationships between them. With additional ontology information, the semantics behind the network structure can be further explored. Unfortunately, creating network visualizations with these datasets for presentation can inadvertently expose the private and sensitive information of individuals...
We present a new multi-level graph drawing algorithm based on the k-core coarsening, a well-known cohesive subgroup analysis method in social network analysis. The k-core of a graph is also known as the degeneracy in graph theory, and can be computed in linear time. Our k-core based multi-level algorithm also includes a new concentric circle placement and a variation of force-directed layout to display...
Many researchers have been studied visualization techniques to represent relationships between sets. However, most recent studies focused on the scalability of visualizing set relations, rather than on set-typed data itself. Although solving such problems is important, understanding the structural context of the entire data is also essential for analyzing data. We propose NetSet, which combines two...
Massively Multiplayer Online Role-playing Games (MMORPGs) feature a large number of players socially interacting with one another in an immersive gaming environment. A successful MMORPG should engage players and meet their needs to achieve different categories of gratifications. Research on the evolution of player social interaction network and the dynamics of inter-player intimacy could provide insights...
As virtual reality (VR) hardware technology becomes more mature and affordable, it is timely to develop visualization applications making use of such technology. How to interact with data in an immersive 3D space is both an interesting and challenging problem, demanding more research investigations. In this paper, we present a gesture input system for graph visualization in a stereoscopic 3D space...
We introduce the concept of “spatio-data coordination” (SD coordination) which defines the mapping of user actions in physical space into the space of data in a visualisation. SD coordination is intended to lower the user's cognitive load when exploring complex multi-dimensional data such as biomedical data, multiple data attributes vs time in a space-time-cube visualisation, or three-dimensional...
Interactive data exploration plays a fundamental role in analyzing three dimensional scientific data. Occlusion management and context preservation are among the key factors to ensure effective identification and extraction of three-dimensional features. In this paper, we present an interactive data exploration system that utilizes a physically based deformation method to investigate hidden structures...
In this work, we present Interaction+, a tool that enhances the interactive capability of existing web-based visualizations. Different from the toolkits for authoring interactions during the visualization construction, Interaction+ takes existing visualizations as input, analyzes the visual objects, and provides users with a suite of interactions to facilitate the visual exploration, including selection,...
We present an in situ visualization framework to capture comprehensive details of vortex dynamics in superconductor simulations. Vortices, which determine all electromagnetic properties of type-II superconductors, are extracted and tracked at the same time with GPU-based time-dependent Ginzburg-Landau superconductor simulations. The in situ workflow involves three parts: (1) a tightly coupled GPU-accelerated...
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