Immersive Analytics

This work aims to develop new methods of data exploration and analysis using immersion techniques in 3D environments.

We are particularly interested here in the development of graph visualization techniques to allow:

  • an intuitive visualization of the centrality of nodes (in the sense defined in the field of social network analysis by closeness, betweenness, pagerank…)
  • the ability to navigate between several levels of detail (from the community graph to the communities themselves)

This work is based on the ongoing thesis work of Piriziwè Kobina.

Laurent Brisson
Associate Professor

Laurent BRISSON received a Ph.D degree in Computer Science from Université Nice Sophia-Antipolis (France) in 2006. His work focuses on the analysis of social networks along two axes: information dissemination and the detection of temporal communities.


(2020). 3D radial layout for centrality visualization in graphs . In Salento AVR 2020, 7th International Conference on Augmented Reality, Virtual Reality and Computer Graphics, Lecce, Italy.

Project Project Source Document

(2020). Layout radial 3D pour la visualisation de la centralité dans les graphes. In Atelier EGC-VIF 2020, Conférence Extraction et Gestion des connaissances , Bruxelles, Belgique.

PDF Project Project Source Document

(2018). Visualisation Immersive de Graphes en 3D pour explorer des graphes de communautés. In Conférence Extraction et Gestion des Connaissances, Atelier Visualisation d’informations, Interactions et Fouille de données, Grenoble.

PDF Project Source Document