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Responsive Matrix Cells are an interactive focus+context approach allowing to explore and edit multivariate graphs.
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Abstract
Matrix visualizations are a useful tool to provide a general overview of a graph’s structure. For multivariate graphs, 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 multivariate graphs. 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.
Presentation @ IEEE VIS ’20
The work was published in a special issue of TVCG. We have presented our work at the IEEE VIS conference on Oct 29 in the Graph session (12:00 Mountain Time, 19:00 CET).
Publication
@article{Horak2020ResponsiveMatrixCells,
author = {Tom Horak and Philip Berger and Heidrun Schumann and Raimund Dachselt and Christian Tominski},
title = {Responsive Matrix Cells: A Focus+Context Approach for Exploring and Editing Multivariate Graphs},
journal = {IEEE Transactions on Visualization and Computer Graphics},
issue = {27},
number = {2},
year = {2021},
month = {2},
location = {Salt Lake City, UT, USA},
pages = {1644--1654},
doi = {10.1109/TVCG.2020.3030371},
publisher = {IEEE}
}List of additional material
, Video, Online Demo
Online Demo & Source Code
We provide an online demo of our prototype at https://vcg.informatik.uni-rostock.de/~ct/software/RMC/.
The source code is available under https://git.informatik.uni-rostock.de/ct/responsive-matrix-cells.
The GEMS 2.0 Project
This publication is part of the DFG research project called GEMS 2.0: Visual Editing and Comparison of Multivariate Graphs Using Multiple Interactive Displays, which is a cooperation between the Interactive Media Lab and the University of Rostock. More information on this project are available at imld.de/gems2