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
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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
T2 - 3rd Dagstuhl Seminar on Information Visualization - Towards Multivariate Network Visualization
Y2 - 12 May 2013 through 17 May 2013
ER -