Name
Abstract | ||
|---|---|---|
Dynamic networks evolve with their structures changing over time. It is still a challenging problem to efficiently explore the evolution of dynamic networks in terms of both their structural and temporal properties. In this paper, we propose a visual analytics methodology to interactively explore the temporal evolution of dynamic networks in the context of their structure. A novel diachronic node ... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TVCG.2018.2887230 | IEEE Transactions on Visualization and Computer Graphics |
Keywords | DocType | Volume |
Visual analytics,Collaboration,Dimensionality reduction,Periodic structures,Cognition,Neural networks | Journal | 26 |
Issue | ISSN | Citations |
7 | 1077-2626 | 1 |
PageRank | References | Authors |
0.34 | 0 | 4 |