Temporal multivariate networks

Daniel Archambault; James Abello; Jessie Kennedy; Stephen Kobourov; Kwan Liu Ma; Silvia Miksch; Chris Muelder; Alexandru C. Telea

doi:10.1007/978-3-319-06793-3_8

Temporal multivariate networks

Daniel Archambault, James Abello, Jessie Kennedy, Stephen Kobourov, Kwan Liu Ma, Silvia Miksch, Chris Muelder, Alexandru C. Telea

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

27 Scopus citations

Abstract

In previous chapters, this book has primarily concerned itself with visualization methods for static, multivariate graphs. In a static scenario, the network has a number of attributes associated with its elements. These attribute values remain fixed and the challenge is to visualize the interactions between the network(s) and these attributes. Static multivariate graphs could be viewed as graphs with an associated high dimensional data set linked to its elements. Time is simply another dimension in this multivariate data set that can interact with the vertices, edges, and attribute values of the network. However, humans perceive time differently as we know from our everyday interactions with the physical world. Thus, intuitively, this dimension is often handled differently when supporting the presentation of data that changes over time. Visualization applications and techniques have, and probably should, continue to exploit this fact, allowing for effective visualization methods of temporal multivariate graphs.

Original language	English (US)
Title of host publication	Multivariate Network Visualization - Dagstuhl Seminar #13201, Revised Discussions
Publisher	Springer-Verlag
Pages	151-174
Number of pages	24
ISBN (Print)	9783319067926
DOIs	https://doi.org/10.1007/978-3-319-06793-3_8
State	Published - 2014
Event	3rd Dagstuhl Seminar on Information Visualization - Towards Multivariate Network Visualization - Saarland, Germany Duration: May 12 2013 → May 17 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8380 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	3rd Dagstuhl Seminar on Information Visualization - Towards Multivariate Network Visualization
Country/Territory	Germany
City	Saarland
Period	5/12/13 → 5/17/13

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-06793-3_8

Cite this

Archambault, D., Abello, J., Kennedy, J., Kobourov, S., Ma, K. L., Miksch, S., Muelder, C., & Telea, A. C. (2014). Temporal multivariate networks. In Multivariate Network Visualization - Dagstuhl Seminar #13201, Revised Discussions (pp. 151-174). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8380 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-319-06793-3_8

Temporal multivariate networks. / Archambault, Daniel; Abello, James; Kennedy, Jessie et al.
Multivariate Network Visualization - Dagstuhl Seminar #13201, Revised Discussions. Springer-Verlag, 2014. p. 151-174 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8380 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Archambault, D, Abello, J, Kennedy, J, Kobourov, S, Ma, KL, Miksch, S, Muelder, C & Telea, AC 2014, Temporal multivariate networks. in Multivariate Network Visualization - Dagstuhl Seminar #13201, Revised Discussions. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8380 LNCS, Springer-Verlag, pp. 151-174, 3rd Dagstuhl Seminar on Information Visualization - Towards Multivariate Network Visualization, Saarland, Germany, 5/12/13. https://doi.org/10.1007/978-3-319-06793-3_8

Archambault D, Abello J, Kennedy J, Kobourov S, Ma KL, Miksch S et al. Temporal multivariate networks. In Multivariate Network Visualization - Dagstuhl Seminar #13201, Revised Discussions. Springer-Verlag. 2014. p. 151-174. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-06793-3_8

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Temporal multivariate networks

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