document: A visual-analytic toolkit for dynamic interaction graphs In this article we describe a visual-analytic tool for the interrogation of evolving interaction network data such as those found in social , bibliometric , WWW and biological applications . The tool we have developed incorporates common visualization paradigms such as zooming , coarsening and filtering while naturally integrating information extracted by a previously described event-driven framework for characterizing the evolution of such networks . The visual front-end provides features that are specifically useful in the analysis of interaction networks , capturing the dynamic nature of both individual entities as well as interactions among them . The tool provides the user with the option of selecting multiple views , designed to capture different aspects of the evolving graph from the perspective of a node , a community or a subset of nodes of interest . Standard visual templates and cues are used to highlight critical changes that have occurred during the evolution of the network . A key challenge we address in this work is that of scalability - handling large graphs both in terms of the efficiency of the back-end , and in terms of the efficiency of the visual layout and rendering . Two case studies based on bibliometric and Wikipedia data are presented to demonstrate the utility of the toolkit for visual knowledge discovery .
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