1. Visualizing Dynamic Networks with Matrix Cubes
CHI 2014
Benjamin Bach, Emmanuel Pietriga, Jean-Daniel Fekete

2. Outline Introduction Related Works Cubix Real Cases Demo Conclusion
Matrix Cube
Real Cases
Demo
Conclusion

3. Introduction
designing visualizations of dynamic networks is challenging
the data sets tend to be complex
the Matrix Cube, a novel visual representation and navigation model for dynamic networks
these manipulations can produce a range of different 2D visualizations
compared to node-link diagrams, adjacency matrices are better suited to the visualization of dense networks

4. Related Works Node-link diagrams Adjacency Matrices
The Space-Time-Cube Metaphor

5. Node-link diagrams
Dynamic network visualization in 1.5D. In Proc. PacificVis, IEEE (2011)
Visualizing the evolution of community structures in dynamic social networks. In Proc. EuroVis, Eurographics Assoc. (2011)

6. Adjacency Matrices ID 1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6

7. Adjacency Matrices
NetVisia
TimeMatrix
Flowstrates

8. The Space-Time-Cube Metaphor
GeoTime
GraphDice

9. The Space-Time-Cube Metaphor
Visualising changes in fund manager holdings in two and a half-dimensions. Information Visualization 3, 4 (2004)
Visual unrolling of network evolution and the analysis of dynamic discourse. Information Visualization 2, 1 (2003)

10. Matrix Cube

11. Cubix Cubix is based on the following design principles: 3D as a pivot
Animated transitions
Limited number of views
Easy navigation

12. Cubix UI screenshot

13. Cubix View design space
Cubix currently implements seven predefined views

14. Cell color and size Time-projection view cell color: time
cell size: edge weight
constant cell size
cell color: edge weight
constant cell size
cell color: frequence

15. Temporal trends in the vertex projection view

16. Time slices juxtaposed in the timeslices view

17. Rotation of a vertex slice

18. Vertex small multiples view illustrating both color mappings
cell color: edge weight
cell color: timeindex

19. ALMA dataset
The Atacama Large Millimeter/submillimeter Array

20. Brain connectivity data

21. Conclusion
The cube metaphor was quickly understood. It helped, along with animated transitions, to switch between views.
Filtering, brushing and linking were useful.
Cell color was always mapped to edge value.
Row and column reordering are useful, but can be confusing.
Matrix Cubes succeeded in providing a legible visualization where other approaches had failed so far.