Visual exploration of multivariate graphs

Authors:
Martin Wattenberg
Affiliations:
IBM Research, Cambridge, MA
Venue:
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Year:
2006

Citing 11
Cited 36

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Abstract

This paper introduces PivotGraph, a software tool that uses a new technique for visualizing and analyzing graph structures. The technique is designed specifically for graphs that are "multivariate," i.e., where each node is associated with several attributes. Unlike visualizations which emphasize global graph topology, PivotGraph uses a simple grid-based approach to focus on the relationship between node attributes and connections. The interaction technique is derived from an analogy with methods seen in spreadsheet pivot tables and in online analytical processing (OLAP). Finally, several examples are presented in which PivotGraph was applied to real-world data sets.