Matrix Snap&Go: Visualization of Paths on Matrices

Zeyang Huang*, Rita Borgo, Andreas Kerren, Daniel Archambault

*Corresponding author for this work

Research output: Contribution to conference typesPaperpeer-review

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Matrix representations can be effective for visualizing networks. However, it is very difficult to follow or explore specific paths in a matrix representation. In this paper, we introduce an interactive method for exploring paths on a matrix, called Matrix Snap&Go. Our visualization approach relies heavily on interactive exploration, bringing in the local neighborhood of selected nodes and tracing the path progression through the matrix. We demonstrate the utility of our approach by performing and analyzing test runs with synthetic input graphs of various node/edge densities as well as by discussing a use case based on the exploration of citation networks.
Original languageEnglish
Publication statusPublished - May 2024
EventEurovis 2024 - The University of Southern Denmark , Odense, Denmark
Duration: 27 May 202431 May 2024


ConferenceEurovis 2024
Internet address


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