Using Aging to Visually Uncover Evolutionary Processes on Networks

Research output: Contribution to journalArticle (Academic Journal)peer-review

22 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1343-1352
Number of pages10
JournalIEEE Transactions on Visualization and Computer Graphics
Volume18
Issue number8
DOIs
Publication statusPublished - Aug 2012

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