In Kerren, A., Purchase, H. C., & Ward, M. O., editors, *Multivariate Network Visualization*, of *Lecture Notes in Computer Science*, pages 151--174. Springer International Publishing, 2014. DOI: 10.1007/978-3-319-06793-3_8

Paper abstract bibtex

Paper abstract bibtex

Networks that evolve over time, or dynamic graphs, have been of interest to the areas of information visualization and graph drawing for many years. Typically, the structure of the dynamic graph evolves as vertices and edges are added or removed from the graph. In a multivariate scenario, however, attributes play an important role and can also evolve over time. In this chapter, we characterize and survey methods for visualizing temporal multivariate networks. We also explore future applications and directions for this emerging area in the fields of information visualization and graph drawing.

@incollection{archambault_temporal_2014, series = {Lecture {Notes} in {Computer} {Science}}, title = {Temporal {Multivariate} {Networks}}, copyright = {©2014 Springer International Publishing Switzerland}, isbn = {978-3-319-06792-6 978-3-319-06793-3}, url = {http://link.springer.com/chapter/10.1007/978-3-319-06793-3_8}, abstract = {Networks that evolve over time, or dynamic graphs, have been of interest to the areas of information visualization and graph drawing for many years. Typically, the structure of the dynamic graph evolves as vertices and edges are added or removed from the graph. In a multivariate scenario, however, attributes play an important role and can also evolve over time. In this chapter, we characterize and survey methods for visualizing temporal multivariate networks. We also explore future applications and directions for this emerging area in the fields of information visualization and graph drawing.}, language = {en}, number = {8380}, urldate = {2015-12-18TZ}, booktitle = {Multivariate {Network} {Visualization}}, publisher = {Springer International Publishing}, author = {Archambault, Daniel and Abello, James and Kennedy, Jessie and Kobourov, Stephen and Ma, Kwan-Liu and Miksch, Silvia and Muelder, Chris and Telea, Alexandru C.}, editor = {Kerren, Andreas and Purchase, Helen C. and Ward, Matthew O.}, year = {2014}, note = {DOI: 10.1007/978-3-319-06793-3\_8}, keywords = {Algorithm Analysis and Problem Complexity, Computer Applications, Data Mining and Knowledge Discovery, Discrete Mathematics in Computer Science, Information Systems and Communication Service}, pages = {151--174} }

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