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Article

Visual exploration of multivariate graphs

Author:

Martin WattenbergAuthors Info & Claims

CHI '06: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 811 - 819

https://doi.org/10.1145/1124772.1124891

Published: 22 April 2006 Publication History

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.

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Cited By

Ferreira VCosenza CSantos EBoente KAndrade GSantos R(2024)Lógica Fuzzy aplicada à análise comportamental e conhecimento da guerra cognitiva em redes sociais: um modelo de extração e mineração de dadosRevista de Gestão e Secretariado10.7769/gesec.v15i5.370815:5(e3708)Online publication date: 13-May-2024
https://doi.org/10.7769/gesec.v15i5.3708
Xu SSun M(2024)Detecting, Interpreting and Modifying the Heterogeneous Causal Network in Multi‐Source Event SequencesComputer Graphics Forum10.1111/cgf.15267Online publication date: 5-Nov-2024
https://doi.org/10.1111/cgf.15267
Al-Naami NMédoc NMagnani MGhoniem M(2024)Improved Visual Saliency of Graph Clusters with Orderable Node-Link LayoutsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345616731:1(1028-1038)Online publication date: 11-Sep-2024
https://dl.acm.org/doi/10.1109/TVCG.2024.3456167
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Index Terms

Visual exploration of multivariate graphs
1. Computing methodologies
  1. Computer graphics
2. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

cover image ACM Conferences

CHI '06: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2006

1353 pages

ISBN:1595933727

DOI:10.1145/1124772

Editors:
Rebecca Grinter
Georgia Institute of Technology, USA
,
Thomas Rodden
University of Nottingham, UK
,
Paul Aoki
Intel, USA
,
Ed Cutrell
Microsoft, USA
,
Robin Jeffries
Google, USA
,
Gary Olson
University of Michigan, USA

Copyright © 2006 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 22 April 2006

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CHI06: CHI 2006 Conference on Human Factors in Computing Systems

April 22 - 27, 2006

Québec, Montréal, Canada

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Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Ferreira VCosenza CSantos EBoente KAndrade GSantos R(2024)Lógica Fuzzy aplicada à análise comportamental e conhecimento da guerra cognitiva em redes sociais: um modelo de extração e mineração de dadosRevista de Gestão e Secretariado10.7769/gesec.v15i5.370815:5(e3708)Online publication date: 13-May-2024
https://doi.org/10.7769/gesec.v15i5.3708
Xu SSun M(2024)Detecting, Interpreting and Modifying the Heterogeneous Causal Network in Multi‐Source Event SequencesComputer Graphics Forum10.1111/cgf.15267Online publication date: 5-Nov-2024
https://doi.org/10.1111/cgf.15267
Al-Naami NMédoc NMagnani MGhoniem M(2024)Improved Visual Saliency of Graph Clusters with Orderable Node-Link LayoutsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345616731:1(1028-1038)Online publication date: 11-Sep-2024
https://dl.acm.org/doi/10.1109/TVCG.2024.3456167
Lu MZeng XLanir JSun XLi GCohen-Or DHuang H(2024)Sticky Links: Encoding Quantitative Data of Graph EdgesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.338856230:6(2968-2980)Online publication date: Jun-2024
https://doi.org/10.1109/TVCG.2024.3388562
Hsuan Yuan CYu TPan JLin W(2024)KGScope: Interactive Visual Exploration of Knowledge Graphs With Embedding-Based GuidanceIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.336069030:12(7702-7716)Online publication date: Dec-2024
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Hoque MElmqvist N(2024)Dataopsy: Scalable and Fluid Visual Exploration using Aggregate Query SculptingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332659430:1(186-196)Online publication date: 1-Jan-2024
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Shen LTai ZShen EWang J(2024)Graph Exploration With Embedding-Guided LayoutsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.323890930:7(3693-3708)Online publication date: Jul-2024
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https://dl.acm.org/doi/10.1007/978-3-031-60114-9_10
Bludau MDörk MTominski C(2023)Unfolding Edges: Adding Context to Edges in Multivariate Graph VisualizationComputer Graphics Forum10.1111/cgf.1483142:3(297-309)Online publication date: 27-Jun-2023
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Lan JZhou ZWang JZhang HXie XWu Y(2023)SimuExplorer: Visual Exploration of Game Simulation in Table TennisIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.313042229:3(1719-1732)Online publication date: 1-Mar-2023
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