Evaluating Visualizations of Sets and Networks that Use Euler Diagrams and Graphs

Almas Baimagambetov; Gem Stapleton; Andrew Blake; John Howse

doi:10.1007/978-3-030-54249-8_25

Evaluating Visualizations of Sets and Networks that Use Euler Diagrams and Graphs

Almas Baimagambetov, Gem Stapleton, Andrew Blake, John Howse

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

Abstract

This paper presents an empirical evaluation of state-of-the-art visualization techniques that combine Euler diagrams and graphs to visualize sets and networks. Focusing on SetNet, Bubble Sets and WebCola – techniques for which there is freely available software – our evaluation reveals that they can inaccurately and ineffectively visualize the data. Inaccuracies include placing vertices in incorrect zones, thus incorrectly conveying the sets in which the represented data items lie. Ineffective properties, which are known to hinder cognition, include drawing Euler diagrams with extra zones or graphs with large numbers of edge crossings. The results demonstrate the need for improved techniques that are more accurate and more effective for end users.

Original language	English
Title of host publication	Diagrammatic Representation and Inference - 11th International Conference, Diagrams 2020, Proceedings
Editors	Ahti-Veikko Pietarinen, Peter Chapman, Leonie Bosveld-de Smet, Valeria Giardino, James Corter, Sven Linker
Publisher	Springer
Pages	323-331
Number of pages	9
ISBN (Print)	9783030542481
DOIs	https://doi.org/10.1007/978-3-030-54249-8_25
Publication status	Published - 17 Aug 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12169 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Bibliographical note

The final authenticated version is available online at https://doi.org/10.1007/978-3-030-54249-8_25

Keywords

Euler diagrams
Graphs
Networks
Sets
Visualization

Access to Document

10.1007/978-3-030-54249-8_25

d2020_final_mainAccepted author manuscript, 1.14 MB

Cite this

Baimagambetov, A., Stapleton, G., Blake, A., & Howse, J. (2020). Evaluating Visualizations of Sets and Networks that Use Euler Diagrams and Graphs. In A-V. Pietarinen, P. Chapman, L. Bosveld-de Smet, V. Giardino, J. Corter, & S. Linker (Eds.), Diagrammatic Representation and Inference - 11th International Conference, Diagrams 2020, Proceedings (pp. 323-331). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12169 LNAI). Springer. https://doi.org/10.1007/978-3-030-54249-8_25

Baimagambetov, Almas ; Stapleton, Gem ; Blake, Andrew et al. / Evaluating Visualizations of Sets and Networks that Use Euler Diagrams and Graphs. Diagrammatic Representation and Inference - 11th International Conference, Diagrams 2020, Proceedings. editor / Ahti-Veikko Pietarinen ; Peter Chapman ; Leonie Bosveld-de Smet ; Valeria Giardino ; James Corter ; Sven Linker. Springer, 2020. pp. 323-331 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Evaluating Visualizations of Sets and Networks that Use Euler Diagrams and Graphs",

abstract = "This paper presents an empirical evaluation of state-of-the-art visualization techniques that combine Euler diagrams and graphs to visualize sets and networks. Focusing on SetNet, Bubble Sets and WebCola – techniques for which there is freely available software – our evaluation reveals that they can inaccurately and ineffectively visualize the data. Inaccuracies include placing vertices in incorrect zones, thus incorrectly conveying the sets in which the represented data items lie. Ineffective properties, which are known to hinder cognition, include drawing Euler diagrams with extra zones or graphs with large numbers of edge crossings. The results demonstrate the need for improved techniques that are more accurate and more effective for end users.",

keywords = "Euler diagrams, Graphs, Networks, Sets, Visualization",

author = "Almas Baimagambetov and Gem Stapleton and Andrew Blake and John Howse",

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Baimagambetov, A, Stapleton, G, Blake, A & Howse, J 2020, Evaluating Visualizations of Sets and Networks that Use Euler Diagrams and Graphs. in A-V Pietarinen, P Chapman, L Bosveld-de Smet, V Giardino, J Corter & S Linker (eds), Diagrammatic Representation and Inference - 11th International Conference, Diagrams 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12169 LNAI, Springer, pp. 323-331. https://doi.org/10.1007/978-3-030-54249-8_25

Evaluating Visualizations of Sets and Networks that Use Euler Diagrams and Graphs. / Baimagambetov, Almas; Stapleton, Gem; Blake, Andrew et al.
Diagrammatic Representation and Inference - 11th International Conference, Diagrams 2020, Proceedings. ed. / Ahti-Veikko Pietarinen; Peter Chapman; Leonie Bosveld-de Smet; Valeria Giardino; James Corter; Sven Linker. Springer, 2020. p. 323-331 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12169 LNAI).

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

TY - GEN

T1 - Evaluating Visualizations of Sets and Networks that Use Euler Diagrams and Graphs

AU - Baimagambetov, Almas

AU - Stapleton, Gem

AU - Blake, Andrew

AU - Howse, John

N1 - The final authenticated version is available online at https://doi.org/10.1007/978-3-030-54249-8_25

PY - 2020/8/17

Y1 - 2020/8/17

N2 - This paper presents an empirical evaluation of state-of-the-art visualization techniques that combine Euler diagrams and graphs to visualize sets and networks. Focusing on SetNet, Bubble Sets and WebCola – techniques for which there is freely available software – our evaluation reveals that they can inaccurately and ineffectively visualize the data. Inaccuracies include placing vertices in incorrect zones, thus incorrectly conveying the sets in which the represented data items lie. Ineffective properties, which are known to hinder cognition, include drawing Euler diagrams with extra zones or graphs with large numbers of edge crossings. The results demonstrate the need for improved techniques that are more accurate and more effective for end users.

AB - This paper presents an empirical evaluation of state-of-the-art visualization techniques that combine Euler diagrams and graphs to visualize sets and networks. Focusing on SetNet, Bubble Sets and WebCola – techniques for which there is freely available software – our evaluation reveals that they can inaccurately and ineffectively visualize the data. Inaccuracies include placing vertices in incorrect zones, thus incorrectly conveying the sets in which the represented data items lie. Ineffective properties, which are known to hinder cognition, include drawing Euler diagrams with extra zones or graphs with large numbers of edge crossings. The results demonstrate the need for improved techniques that are more accurate and more effective for end users.

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KW - Networks

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DO - 10.1007/978-3-030-54249-8_25

M3 - Conference contribution with ISSN or ISBN

SN - 9783030542481

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Diagrammatic Representation and Inference - 11th International Conference, Diagrams 2020, Proceedings

A2 - Pietarinen, Ahti-Veikko

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A2 - Giardino, Valeria

A2 - Corter, James

A2 - Linker, Sven

PB - Springer

ER -

Baimagambetov A, Stapleton G, Blake A, Howse J. Evaluating Visualizations of Sets and Networks that Use Euler Diagrams and Graphs. In Pietarinen A-V, Chapman P, Bosveld-de Smet L, Giardino V, Corter J, Linker S, editors, Diagrammatic Representation and Inference - 11th International Conference, Diagrams 2020, Proceedings. Springer. 2020. p. 323-331. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-54249-8_25

Evaluating Visualizations of Sets and Networks that Use Euler Diagrams and Graphs

Abstract

Publication series

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Almas Baimagambetov

Andrew Blake

Cite this

Evaluating Visualizations of Sets and Networks that Use Euler Diagrams and Graphs

Abstract

Publication series

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Profiles

Almas Baimagambetov

Andrew Blake

Cite this