Visual Exploration of Multivariate Graphs

by: Martin Wattenberg

Visual Communication Lab, IBM Research (2006)

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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.

@misc{citeulike:625534, 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.}, author = {Wattenberg, Martin }, citeulike-article-id = {625534}, journal = {Visual Communication Lab, IBM Research}, keywords = {datamining, information, method, visualization}, posted-at = {2008-02-12 10:03:43}, priority = {0}, title = {Visual Exploration of Multivariate Graphs}, url = {http://www.research.ibm.com/visual/papers/pivotgraph.pdf}, year = {2006} }

RIS record

TY - GEN ID - citeulike:625534 L3 - citeulike-article-id:625534 N2 - 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. JF - Visual Communication Lab, IBM Research TI - Visual Exploration of Multivariate Graphs KW - datamining KW - information KW - method KW - visualization AU - Wattenberg, Martin PY - 2006/// UR - http://www.research.ibm.com/visual/papers/pivotgraph.pdf ER -

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