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Multivariate Network Exploration with JauntyNets
2013
2013 17th International Conference on Information Visualisation
The amount of data produced in the world every day implies a huge challenge in understanding and extracting knowledge from it. Much of this data is of relational nature, such as social networks, metabolic pathways, or links between software components. Traditionally, those networks are represented as node-link diagrams or matrix representations. They help us to understand the structure (topology) of the relational data. However in many real world data sets, additional (often multidimensional)
doi:10.1109/iv.2013.3
dblp:conf/iv/JusufiKZ13
fatcat:ebnchi5fkncr7nrenvivluzfae