Matrix visualizations are a useful tool to provide a general overview of a graph's structure. For multivariategraphs, a remaining challenge is to cope with the attributes that are associated with nodes and edges....
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Matrix visualizations are a useful tool to provide a general overview of a graph's structure. For multivariategraphs, a remaining challenge is to cope with the attributes that are associated with nodes and edges. Addressing this challenge, we propose responsive matrix cells as a focus+context approach for embedding additional interactive views into a matrix. Responsive matrix cells are local zoomable regions of interest that provide auxiliary data exploration and editing facilities for multivariategraphs. They behave responsively by adapting their visual contents to the cell location, the available display space, and the user task. Responsive matrix cells enable users to reveal details about the graph, compare node and edge attributes, and edit data values directly in a matrix without resorting to external views or tools. We report the general design considerations for responsive matrix cells covering the visual and interactive means necessary to support a seamless data exploration and editing. Responsive matrix cells have been implemented in a web-based prototype based on which we demonstrate the utility of our approach. We describe a walk-through for the use case of analyzing a graph of soccer players and report on insights from a preliminary user feedback session.
Mobile devices are getting more and more powerful, however, interfaces for exploring multivariate network data on-the-go remain rare and challenging to realize. In this work, we present considerations as well as conce...
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ISBN:
(纸本)9781450375269
Mobile devices are getting more and more powerful, however, interfaces for exploring multivariate network data on-the-go remain rare and challenging to realize. In this work, we present considerations as well as concepts on how to enable such exploration on mobile devices. Specifically, we discuss that an interface with force-directed node-link representation alongside additional views for investigating multivariate aspects and filter functionalities seems promising. Further, such an interface could be advanced by incorporating multiple mobile devices in parallel. As part of our ongoing investigations, we have realized an early prototype indicating the general feasibility of our concepts.
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