Comparative Study and Evaluation of Hybrid Visualizations of Graphs

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Abstract

Hybrid visualizations combine different metaphors into a single network layout, in order to help humans in finding the 'right way' of displaying the different portions of the network, especially when it is globally sparse and locally dense. We investigate hybrid visualizations in two complementary directions: (i) On the one hand, we evaluate the effectiveness of different hybrid visualization models through a comparative user study; (ii) On the other hand, we estimate the usefulness of an interactive visualization that integrates all the considered hybrid models together. The results of our study provide some hints about the usefulness of the different hybrid visualizations for specific tasks of analysis and indicates that integrating different hybrid models into a single visualization may offer a valuable tool of analysis.

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Giacomo, E. D., Didimo, W., Liotta, G., Montecchiani, F., & Tappini, A. (2024). Comparative Study and Evaluation of Hybrid Visualizations of Graphs. IEEE Transactions on Visualization and Computer Graphics, 30(7), 3503–3515. https://doi.org/10.1109/TVCG.2022.3233389

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