Should social network structure be taken into account in elections?

Author:

Conitzer Vincent

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,General Psychology,General Social Sciences,Sociology and Political Science

Reference13 articles.

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2. Conitzer, Vincent, Rognlie, Matthew, Xia, Lirong, 2009. Preference functions that score rankings and maximum likelihood estimation. In: Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence, IJCAI, Pasadena, CA, USA, pp. 109–115.

3. Conitzer, Vincent, Sandholm, Tuomas, 2005. Common voting rules as maximum likelihood estimators. In: Proceedings of the 21st Annual Conference on Uncertainty in Artificial Intelligence, UAI, Edinburgh, UK, pp. 145–152.

4. Essai sur l’Application de l’Analyse à la Probabilité des Décisions Rendues à la Pluralité des voix;de Caritat,1785

5. Maximum likelihood approach to vote aggregation with variable probabilities;Drissi-Bakhkhat;Social Choice and Welfare,2004

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4. Inferring true voting outcomes in homophilic social networks;Autonomous Agents and Multi-Agent Systems;2019-02-27

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