CE23 - Intelligence Artificielle

THeory and Evidence to Measure Influence in Social structures – THEMIS

Submission summary

This project is positioned in the core of the emerging research area on social influence analysis but goes further in trying to demonstrate not only that this framework can be applied to other research domains through a property-driven approach, but also that the algorithmic and strategic aspects play an important role in the design and selection of specific social ranking solutions. Unlike previous generations of influence measurement methods for social structures, this project brings insights based on different techniques from artificial intelligence including multi-agent systems, compact representation, algorithmic game theory, computational social choice, and social network analysis. Our main objective is to show that the portfolio of models proposed under the umbrella of a qualitative theory for social influence analysis is more adapted to answer important questions arising from different domains of collective decision making like voting, social networks, argumentation, and MCDA.

Project coordinator

Monsieur Stefano Moretti (Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision)

The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.


LIP6 Laboratoire d'informatique de Paris 6
LAMSADE Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision
CRIL CRIL - Centre de Recherche en Informatique de Lens

Help of the ANR 401,013 euros
Beginning and duration of the scientific project: March 2021 - 48 Months

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