research-article

Visual Linking of Feature Values in Immersive Graph Visualization Environment

Authors:

Maxime Cordeil,

Mitsuo Yoshida, and

Takayuki ItohAuthors Info & Claims

VINCI '21: Proceedings of the 14th International Symposium on Visual Information Communication and Interaction

September 2021

Article No.: 13, Pages 1 - 6

https://doi.org/10.1145/3481549.3481555

Published: 27 November 2021 Publication History

Abstract

There are a variety of graphs where multidimensional feature values are assigned to the nodes. Visualization of such datasets is not an easy task since they are complex and often huge. Immersive Analytics is a powerful approach to support the interactive exploration of such large and complex data. Many recent studies on graph visualization have applied immersive analytics frameworks; however, there have been few studies on immersive analytics for visualization of multidimensional attributes associated with the input graphs. This paper presents a new immersive analytics system that supports the interactive exploration of multidimensional feature values assigned to the nodes of input graphs. The presented system displays ”label-axes” corresponding to the dimensions of feature values, and ”label-edges” that connect label-axes and corresponding to the nodes. The system supports visual linking operations which controls the display of edges that connect a label-axis and nodes of the graph. This paper introduces visualization examples with a graph dataset of Twitter users and reviews by experts on graph data analysis.

References

[1]

[1] B. Alsallakh, L. Micallef, W. Aigner, H. Hauser, S. Miksch, and P. Rodgers. The state-of-the-art of set visualization. Computer Graphics Forum, 35(1):234–260, 2016.

Digital Library

[2]

[2] A. Batch, A. Cunningham, M. Cordeil, N. Elmqvist, T. Dwyer, B. H. Thomas, and K. Marriotto. There is no spoon: Evaluating performance, space use, and presence with expert domain users in immersive analytics. IEEE Transactions on Visualization and Computer Graphics, 26(1):536–546, 2020.

[3]

[3] C. Collins, G. Penn, and S. Carpendale. Bubble sets: Revealing set relations with isocontours over existing visualizations. IEEE Transactions on Visualization and Computer Graphics, 15(6):1009–1016, 2009.

Digital Library

[4]

[4] M. Cordeil, A. Cunningham, B. Bach, C. Hurter, B. H. Thomas, and K. Marriott. Iatk: An immersive analytics toolkit. In IEEE Conference on Virtual Reality and 3D User Interfaces (VR), pages 200–209, 2019.

[5]

[5] M. Cordeil, A. Cunningham, A. Dwyer, B. H. Thomas, and K Marriotto. Imaxes: Immersive axes as embodied affordances for interactive multivariate data visualisation. In ACM Symposium on User Interface Software and Technology, pages 71–83, 2017.

Digital Library

[6]

[6] K. Dinkla, M. van Kreveld, B. Speckmann, and M. Westernberg. The state-of-the-art of set visualization. Computer Graphics Forum, 31(3):875–884, 2012.

Digital Library

[7]

[7] U. Erra, D. Malandrino, and L. Pepe. A methodological evaluation of natural user interfaces for immersive 3d graph explorations. Journal of Visual Languages and Computing, 44:13–27, 2018.

[8]

[8] A. Fonnet, T. Vigier, Y. Prie, G. Cliquet, and F. Picarougne. Axes and coordinate systems representations for immersive analytics of multi-dimensional data. In IEEE International Symposium on Big Data Visual Analytics (BDVA), pages 1–10, 2018.

[9]

[9] J. Heer and D. Boyd. Vizster: Visualizing online social networks. In IEEE Symposium on Information Visualization, pages 32–39, 2005.

[10]

[10] Y.-J. Huang, T. Fujiwara, Y.-X. Lin, W.-C. Lin, and K.-L. Ma. A gesture system for graph visualization in virtual reality environments. In IEEE Pacific Visualization, pages 41–45, 2017.

[11]

[11] T. Itoh and K. Klein. Key-node-separated graph clustering and layouts for human relationship graph visualization. IEEE Computer Graphics and Applications, 35(6):30–40, 2015.

Digital Library

[12]

[12] T. Itoh, C. Muelder, K.-L. Ma, and J. Sese. A hybrid space-filling and force-directed layout method for visualizing multiple-category graphs. In IEEE Pacific Visualization, pages 121–128, 2009.

Digital Library

[13]

[13] R. Jianu, A. Rusu, Y. Hu, and D. Taggart. How to display group information on node-link diagrams: An evaluation. IEEE Transactions on Visualization and Computer Graphics, 20(11):1530–1541, 2014.

[14]

[14] K. Joseph, O.-H. Kwon, K.-L. Ma, and P. Eades. A study of mental maps in immersive network visualization. In IEEE Pacific Visualization, 2020.

[15]

[15] O.-H. Kwon, Muelder. C., K. Lee, and K.-L. Ma. Spherical layout and rendering methods for immersive graph visualization. In IEEE Pacific Visualization, pages 63–67, 2015.

[16]

[16] O.-H. Kwon, Muelder. C., K. Lee, and K.-L. Ma. A study of layout, rendering, and interaction methods for immersive graph visualization. IEEE Transactions on Visualization and Computer Graphics, 22(7):1802–1815, 2016.

Digital Library

[17]

[17] K. Marriott et al. Immersive analytics. Springer, 2018.

[18]

[18] H. Sassa, T. Itoh, and M. Yoshida. 3d visualization of network including nodes with labels. In 23rd International Conference Information Visualisation (IV2019), pages 19–24, 2019.

[19]

[19] L. Shi, Q. Liao, H. Tong, Y. Hu, C. Wang, C. Lin, and W. Qian. Oniongraph: Hierarchical topology+attribute multivariate network visualizations. Visual Informatics, 4(1):43–57, 2020.

[20]

[20] Z. Shi, J. Wang, and B. Zhang. Netgestalt: Integrating multidimensional omics data over biological networks. Nature Methods, 10(7):597–598, 2013.

[21]

[21] S. K. Tadeja, T. Kipouros, and P. O. Kristensson. Exploring parallel coordinates plots in virtual reality. In CHI Conference on Human Factors in Computing Systems, page LBW2617, 2019.

[22]

[22] M. Yoshida and F. Toriumi. Analysis of political party twitter accounts’ retweeters during japan’s 2017 election. In IEEE/WIC/ACM International Conference on Web Intelligence (WI), pages 736–739, 2018.

[23]

[23] M. Yoshida and F. Toriumi. Information diffusion power of political party twitter accounts during japan’s 2017 election. In International Conference on Social Informatics (SocInfo 2018), pages 334–342, 2018.

[24]

[24] J. Zhou et al. Graph neural networks: A review of methods and applications. arXiV, page 1812.08434, 2019.

Cited By

Friedl‐Knirsch JPointecker FPfistermüller SStach CAnthes CRoth D(2024)A Systematic Literature Review of User Evaluation in Immersive AnalyticsComputer Graphics Forum10.1111/cgf.1511143:3Online publication date: 10-Jun-2024
https://doi.org/10.1111/cgf.15111
Bateman LButler MAlférez G(2022)Database Query Execution Through Virtual RealityProceedings of the Future Technologies Conference (FTC) 2022, Volume 210.1007/978-3-031-18458-1_42(619-633)Online publication date: 13-Oct-2022
https://doi.org/10.1007/978-3-031-18458-1_42
ITOH T(2021)Visualization of Social Mediaソーシャルメディアの可視化Journal of the Visualization Society of Japan10.3154/jvs.41.160_2341:160(23-27)Online publication date: 2021
https://doi.org/10.3154/jvs.41.160_23

Index Terms

Visual Linking of Feature Values in Immersive Graph Visualization Environment
1. Computing methodologies
  1. Computer graphics
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Graphical user interfaces

Index terms have been assigned to the content through auto-classification.

Recommendations

Graph Visualization and Navigation in Information Visualization: A Survey

This is a survey on graph visualization and navigation techniques, as used in information visualization. Graphs appear in numerous applications such as web browsing, state-transition diagrams, and data structures. The ability to visualize and to ...
Read More
A geoscience perspective on immersive 3D gridded data visualization

We describe visualization software, Visualizer, that was developed specifically for interactive, visual exploration in immersive virtual reality (VR) environments. Visualizer uses carefully optimized algorithms and data structures to support the high ...
Read More
Graph visualization using the metaphor of biological neural nets
SCCG '11: Proceedings of the 27th Spring Conference on Computer Graphics

Graph visualization is a large and evolving research area. Many graph visualization approaches have been developed. Most graph visualization methods use simple geometrical shapes to draw graphs. However, the potential of metaphorical visualization is ...
Read More

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

VINCI '21: Proceedings of the 14th International Symposium on Visual Information Communication and Interaction

September 2021

139 pages

ISBN:9781450386470

DOI:10.1145/3481549

Copyright © 2021 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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 November 2021

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

VINCI 2021

VINCI 2021: The 14th International Symposium on Visual Information Communication and Interaction

September 6 - 8, 2021

Potsdam, Germany

Acceptance Rates

Overall Acceptance Rate 71 of 193 submissions, 37%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
116
Total Downloads

Downloads (Last 12 months)39
Downloads (Last 6 weeks)1

Other Metrics

View Author Metrics

Citations

Cited By

Friedl‐Knirsch JPointecker FPfistermüller SStach CAnthes CRoth D(2024)A Systematic Literature Review of User Evaluation in Immersive AnalyticsComputer Graphics Forum10.1111/cgf.1511143:3Online publication date: 10-Jun-2024
https://doi.org/10.1111/cgf.15111
Bateman LButler MAlférez G(2022)Database Query Execution Through Virtual RealityProceedings of the Future Technologies Conference (FTC) 2022, Volume 210.1007/978-3-031-18458-1_42(619-633)Online publication date: 13-Oct-2022
https://doi.org/10.1007/978-3-031-18458-1_42
ITOH T(2021)Visualization of Social Mediaソーシャルメディアの可視化Journal of the Visualization Society of Japan10.3154/jvs.41.160_2341:160(23-27)Online publication date: 2021
https://doi.org/10.3154/jvs.41.160_23

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

HTML Format

View this article in HTML Format.

Media

Figures

Other

Tables

View Table of Contents