Matrix Snap&Go: Visualization of Paths on Matrices

Zeyang Huang; Rita Borgo; Andreas Kerren; Daniel Archambault

doi:10.2312/evs.20241058

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 types › Paper › peer-review

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Abstract

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 language	English
DOIs	https://doi.org/10.2312/evs.20241058
Publication status	Published - May 2024
Event	Eurovis 2024 - The University of Southern Denmark , Odense, Denmark Duration: 27 May 2024 → 31 May 2024 https://event.sdu.dk/eurovis/conference

Conference

Conference	Eurovis 2024
Country/Territory	Denmark
City	Odense
Period	27/05/2024 → 31/05/2024
Internet address	https://event.sdu.dk/eurovis/conference

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10.2312/evs.20241058Licence: CC BY

eurovis24c-sub1029-cam-i5 (1)Accepted author manuscript, 4.11 MBLicence: CC BY

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title = "Matrix Snap&Go: Visualization of Paths on Matrices",

abstract = "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.",

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AU - Huang, Zeyang

AU - Borgo, Rita

AU - Kerren, Andreas

AU - Archambault, Daniel

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N2 - 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.

AB - 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.

UR - https://diglib.eg.org/handle/10.2312/evs20241058

U2 - 10.2312/evs.20241058

DO - 10.2312/evs.20241058

M3 - Paper

T2 - Eurovis 2024

Y2 - 27 May 2024 through 31 May 2024

ER -

Matrix Snap&Go: Visualization of Paths on Matrices

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