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CHI 2014 Benjamin Bach, Emmanuel Pietriga, Jean-Daniel Fekete.

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Presentation on theme: "CHI 2014 Benjamin Bach, Emmanuel Pietriga, Jean-Daniel Fekete."— Presentation transcript:

1 CHI 2014 Benjamin Bach, Emmanuel Pietriga, Jean-Daniel Fekete

2  Introduction  Related Works  Cubix ◦ Matrix Cube  Real Cases  Demo  Conclusion

3  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  Node-link diagrams  Adjacency Matrices  The Space-Time-Cube Metaphor

5 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 ID

7 TimeMatrix Flowstrates NetVisia

8 GraphDice GeoTime

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

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

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13 Cubix currently implements seven predefined views

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

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18 cell color: timeindex cell color: edge weight

19 The Atacama Large Millimeter/submillimeter Array

20 Brain connectivity data

21  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.


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