MatrixExplorer: a Dual-Representation System to Explore Social Networks

By Nathalie Henry Riche, Jean-Daniel Fekete. IEEE Transactions on Visualization and Computer Graphics, 2006

333 citations recorded by the source corpus.

MatrixExplorer is a network visualization system that uses two representations: node-link diagrams and matrices. Its design comes from a list of requirements formalized after several interviews and a participatory design session conducted with social science researchers. Although matrices are commonly used in social networks analysis, very few systems support the matrix-based representations to visualize and analyze networks. MatrixExplorer provides several novel features to support the exploration of social networks with a matrix-based representation, in addition to the standard interactive filtering and clustering functions. It provides tools to reorder (layout) matrices, to annotate and compare findings across different layouts and find consensus among several clusterings. MatrixExplorer also supports node-link diagram views which are familiar to most users and remain a convenient way to publish or communicate exploration results. Matrix and node-link representations are kept synchronized at all stages of the exploration process

Subfields: Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/ac765d12e845aa9ab728f5ad84c254372e12584c

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Citations in the corpus

A survey of two-dimensional graph layout techniques for information visualisation (2013, methodology): “This review furthers their research by focusing on the use of graphs in information visualisation through the inclusion of computational improvements to previous methods and, by exploring what makes the key difference between graph drawing and network visualisation, the use of attributes for layout.”
EnsembleMatrix: interactive visualization to support machine learning with multiple classifiers (2009, unknown): “MatrixExplorer employed reordered matrixbased representation in addition to node-link diagrams to support social network analysis [17].”
A Nested Model for Visualization Design and Validation (2009, methodology): “Fig. 4. MatrixExplorer [ 17 ] validation methods.”
A Survey of Visual Analytics Techniques and Applications: State-of-the-Art Research and Future Challenges (2013, background): “Matrix visualization is widely used to represent networks([100]).”
Hierarchical Aggregation for Information Visualization: Overview, Techniques, and Design Guidelines (2010, unknown): “Adjacency matrices have been shown to be more efficient than node-link diagrams for large and/or dense graphs [40], and are, thus, often employed for visualizing large graphs, either alone or in tandem [45] with node-link diagrams.”
Hive plots - rational approach to visualizing networks (2012, unknown): “matrix) representations [26].”
NodeTrix: a Hybrid Visualization of Social Networks (2007, methodology): “Henry and Fekete [16] chose to provide users with both representations, side-by-side, synchronized by brushing and linking.”