Social Choice on Social Networks (SCONE)

ANR JCJC Project ANR-18-CE23-0009-01


This project starts from the observation that collective decision methods, as traditionally studied in the field of (computational) social choice, do not take into account the existence of a network relating the decision-makers. The objective of this project is the conception of algorithms for opinion diffusion and vote computation in the presence of a social network, and its assessment in terms of computational and communication complexity, axiomatic properties, including game-theoretic ones such as resistance to strategic actions by voters or external agents.

Duration: 2019-2022

Group members

Permanent members from IRIT, University of Toulouse:

Members hired on ANR funding:


12 November 2019: Workshop in knowledge representation for collective decision making + Kick-off talk of ANR SCONE Project.

13 May 2019: Tutorial on Social Choice and Mechanism Design on Social Networks, International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2019)


Loujayn Layka. Multiagent Reinforcement Learning for Iterative Voting. Master thesis. 2019. (manuscript)

Sirin Botan, Umberto Grandi and Laurent Perrussel. Multi-Issue Opinion Diffusion under Constraints. In Proceedings of the 18th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2019.

Last modified: 2019