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Proceedings Paper

Multi-focus and multi-level techniques for visualization and analysis of networks with thematic data
Author(s): Michele Cossalter; Ole J. Mengshoel; Ted Selker
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Paper Abstract

Information-rich data sets bring several challenges in the areas of visualization and analysis, even when associated with node-link network visualizations. This paper presents an integration of multi-focus and multi-level techniques that enable interactive, multi-step comparisons in node-link networks. We describe NetEx, a visualization tool that enables users to simultaneously explore different parts of a network and its thematic data, such as time series or conditional probability tables. NetEx, implemented as a Cytoscape plug-in, has been applied to the analysis of electrical power networks, Bayesian networks, and the Enron e-mail repository. In this paper we briefly discuss visualization and analysis of the Enron social network, but focus on data from an electrical power network. Specifically, we demonstrate how NetEx supports the analytical task of electrical power system fault diagnosis. Results from a user study with 25 subjects suggest that NetEx enables more accurate isolation of complex faults compared to an especially designed software tool.

Paper Details

Date Published: 4 February 2013
PDF: 15 pages
Proc. SPIE 8654, Visualization and Data Analysis 2013, 865403 (4 February 2013); doi: 10.1117/12.2005096
Show Author Affiliations
Michele Cossalter, Carnegie Mellon Silicon Valley (United States)
Ole J. Mengshoel, Carnegie Mellon Silicon Valley (United States)
Ted Selker, Carnegie Mellon Silicon Valley (United States)


Published in SPIE Proceedings Vol. 8654:
Visualization and Data Analysis 2013
Pak Chung Wong; David L. Kao; Ming C. Hao; Chaomei Chen, Editor(s)

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