IEEE Transactions on Visualization and Computer Graphics

IEEE Transactions on Visualization and Computer Graphics (TVCG) is a monthly journal that publishes research on subjects related to computer graphics and visualization techniques, systems, software, hardware, and user interface issues. Read the full scope of TVCG.


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From the August 2018 issue

Wavelet-Based Visual Analysis of Dynamic Networks

By Alcebiades Dal Col, Paola Valdivia, Fabiano Petronetto, Fabio Dias, Claudio T. Silva, and L. Gustavo Nonat

Featured article thumbnail imageDynamic networks naturally appear in a multitude of applications from different fields. Analyzing and exploring dynamic networks in order to understand and detect patterns and phenomena is challenging, fostering the development of new methodologies, particularly in the field of visual analytics. In this work, we propose a novel visual analytics methodology for dynamic networks, which relies on the spectral graph wavelet theory. We enable the automatic analysis of a signal defined on the nodes of the network, making viable the robust detection of network properties. Specifically, we use a fast approximation of a graph wavelet transform to derive a set of wavelet coefficients, which are then used to identify activity patterns on large networks, including their temporal recurrence. The coefficients naturally encode the spatial and temporal variations of the signal, leading to an efficient and meaningful representation. This methodology allows for the exploration of the structural evolution of the network and their patterns over time. The effectiveness of our approach is demonstrated using usage scenarios and comparisons involving real dynamic networks.

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