Persistence of disagreement in social networks

Author(s)
Acemoglu, Daron; Como, Giacomo; Fagnani, Fabio; Ozdaglar, Asuman E.
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Abstract
Disagreement among individuals in a society, even on central questions that have been debated for centuries, is the rule; agreement is the rare exception. How can disagreement of this sort persist for so long? Existing models of communication and learning, based on Bayesian or non- Bayesian updating mechanisms, typically lead to consensus provided that communication takes place over a strongly connected network.
Description
URL to abstract on conference site
Date issued
2010-07
URI
http://hdl.handle.net/1721.1/63092
Department
Massachusetts Institute of Technology. Department of Economics; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Journal
19th International Symposium on Mathematical Theory of Networks and Systems, (MTNS 2010)
Publisher
Computer and Automation Research Institute, Hungarian Academy of Sciences
Citation
Acemoglu, Daron, Giacomo Como, Fabio Fagnani, and Asuman Ozdaglar. "Persistence of Disagreement in Social Networks." in Proceedings of the 19th International Symposium on Mathematical Theory of Networks and Systems, (MTNS 2010), Systems on Graphs (Regular Session), Budapest, Hungary, July 5-9, 2010.
Version: Author's final manuscript
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