[en] The majority of work in judgment aggregation is devoted to the study of impossibility results. However the (social) dependencies that may exist between the voters has received less attention. In this extended abstract we use the degree centrality measure from social network analysis and obtain a correspondence between the average voter rule and this measure, and show that approach can lead to more resolute outcomes in the voting process.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
COLOMBO TOSATTO, Silvano ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
VAN ZEE, Marc ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Langue du document :
Anglais
Titre :
Social Network Analysis for Judgment Aggregation
Date de publication/diffusion :
2014
Nom de la manifestation :
13th International Conference on Autonomous Agents and Multiagent Systems
Date de la manifestation :
from 05-05-2014 to 09-05-2014
Titre de l'ouvrage principal :
Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems
