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'Understanding Complex Networks' Dr. Jean-Daniel Fekete (VISIGRAPP 2017)
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Title: Understanding Complex Networks
Keynote Lecturer: Jean-Daniel Fekete
Presented on: 27/02/2017, Porto, Portugal
Abstract: Network visualization is progressing at a fast pace, allowing large, complex, dynamic networks to be visualized and explored interactively. However, outside of the visualization field, the old-fashioned network visual representation is still dominant. I will show how research, from my group at Inria and others, have tackled the problem and provided new solutions. These solutions are built on several grounds: HCI, visualization, graph theory, and more recently image processing and machine-learning to evaluate the effectiveness of the visual representations for different tasks. I will show examples of applications from various fields such as social network analysis and brain functional network analysis.
Presented at the following Event: VISIGRAPP, 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Keynote Lecturer: Jean-Daniel Fekete
Presented on: 27/02/2017, Porto, Portugal
Abstract: Network visualization is progressing at a fast pace, allowing large, complex, dynamic networks to be visualized and explored interactively. However, outside of the visualization field, the old-fashioned network visual representation is still dominant. I will show how research, from my group at Inria and others, have tackled the problem and provided new solutions. These solutions are built on several grounds: HCI, visualization, graph theory, and more recently image processing and machine-learning to evaluate the effectiveness of the visual representations for different tasks. I will show examples of applications from various fields such as social network analysis and brain functional network analysis.
Presented at the following Event: VISIGRAPP, 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications