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 ...

• Type: Conference
• Year: 2008
• Where: KDD
• Authors: Xintian Yang, Sitaram Asur, Srinivasan Parthasarathy, Sameep Mehta
• Keywords: Data Mining, KDD 2008, Standard Visual Templates, Visual Front-end Provides, Visual Knowledge Discovery