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Publication - Professor Claire Grierson

    Using Aging to Visually Uncover Evolutionary Processes on Networks

    Citation

    Gorochowski, TE, Bernardo, Md & Grierson, CS, 2012, ‘Using Aging to Visually Uncover Evolutionary Processes on Networks’. IEEE Transactions on Visualization and Computer Graphics, vol 18., pp. 1343-1352

    Abstract

    Networks are widely used to describe many natural and technological systems. Understanding how these evolve over time poses a challenge for existing visualization techniques originally developed for fixed network structures. We describe a method of incorporating the concept of aging into evolving networks, where nodes and edges store information related to the amount of local evolutionary change they have experienced. This property is used to generate visualizations that ensure stable substructures maintain relatively fixed spatial positions, allowing them to act as visual markers and providing context for evolutionary change elsewhere. By further supplementing these visualizations with color cues, the resultant animations enable a clearer portrayal of the underlying evolutionary process.

    Full details in the University publications repository