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 | |
| 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 |
Fingerprint
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)
Cite this
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
}
TY - GEN
T1 - Multivariate social network visual analytics
AU - Muelder, Chris
AU - Gou, Liang
AU - Ma, Kwan-Liu
AU - Zhou, Michelle X.
PY - 2014/1/1
Y1 - 2014/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84901278300&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84901278300&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-06793-3_3
DO - 10.1007/978-3-319-06793-3_3
M3 - Conference contribution
AN - SCOPUS:84901278300
SN - 9783319067926
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 37
EP - 59
BT - Multivariate Network Visualization - Dagstuhl Seminar #13201, Revised Discussions
PB - Springer-Verlag
ER -