Complex Networks Analysis

This work focuses on the analysis of social networks or interaction networks in order to detect communities or behaviours. Temporal evolution of interactions and communities is a major concern.

The approaches used are:

  • detection of temporal communities in graphs that may have attributes on nodes and/or edges
  • graphlet identification (small induced subgraphs)
  • machine learning tools for classification and clustering
  • 2D visualization tools for community evolution

More broadly, this theme also focuses mechanisms of information propagation within social networks. The influence of network topology and the nature of the messages carried on the propagation of information is studied.

We have many fields of application for this work: crowdfunding study, echo chambers detection in community platforms, influence of interactions on the quality of student learning but also the study of the dynamics of biological networks.

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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.

Publications

(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

(2019). Roles in social interactions: graphlets in temporal networks applied to learning analytics . In Complex Networks 2019, The 8th International Conference on Complex Networks and their Applications, Lisbonne, Portugal.

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(2019). Crowdfunding platform and inter-project social network: example of Ulule. SASE 2019: Fathomless Futures: Algorithmic and Imagined, Jun 2019, New York City, United States.

Project Source Document

(2019). Using Sankey diagrams to visualize the evolution of communities . 30th European Conference on Operational Research (EURO 2019).

Project Source Document

(2015). Rumor Spreading Modeling: Profusion versus Scarcity. ASONAM 2015 : IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Paris, France.

PDF Project Slides Source Document