Multivariate social network visual analytics

Chris Muelder; Liang Gou; Kwan-Liu Ma; Michelle X. Zhou

doi:10.1007/978-3-319-06793-3_3

Multivariate social network visual analytics

Chris Muelder, Liang Gou, Kwan-Liu Ma, Michelle X. Zhou

Computer Science

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

2 Scopus citations

Abstract

One of the key research topics in Social Science and Sociology is to understand and analyze various social networks. Like any other types of networks, a social network consists of a set of nodes and links. Here, each node often represents a social entity, such as an individual or a group, and each link represents a particular relationship between two social entities. In a multivariate social network, each node/link can be associated with a set of properties, or there can even be multiple sets of heterogenous nodes or edges.

Original language	English (US)
Title of host publication	Multivariate Network Visualization - Dagstuhl Seminar #13201, Revised Discussions
Publisher	Springer-Verlag
Pages	37-59
Number of pages	23
ISBN (Print)	9783319067926
DOIs	https://doi.org/10.1007/978-3-319-06793-3_3
State	Published - Jan 1 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	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_3

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Cite this

Muelder, C., Gou, L., Ma, K-L., & Zhou, M. X. (2014). Multivariate social network visual analytics. In Multivariate Network Visualization - Dagstuhl Seminar #13201, Revised Discussions (pp. 37-59). (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_3

Multivariate social network visual analytics. / Muelder, Chris; Gou, Liang; Ma, Kwan-Liu; Zhou, Michelle X.

Multivariate Network Visualization - Dagstuhl Seminar #13201, Revised Discussions. Springer-Verlag, 2014. p. 37-59 (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

Muelder, C, Gou, L, Ma, K-L & Zhou, MX 2014, Multivariate social network visual analytics. 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. 37-59, 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_3

Muelder C, Gou L, Ma K-L, Zhou MX. Multivariate social network visual analytics. In Multivariate Network Visualization - Dagstuhl Seminar #13201, Revised Discussions. Springer-Verlag. 2014. p. 37-59. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-06793-3_3

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