Anonymous Social Influence

We study a stochastic model of influence where agents have “yes” or “no” inclinations on some issue, and opinions may change due to mutual influence among the agents. Each agent independently aggregates the opinions of the other agents and possibly herself. We study influence processes modelled by ordered weighted averaging operators, which are anonymous: they only depend on how many agents share an opinion. For instance, this allows to study situations where the influence process is based on majorities, which are not covered by the classical approach of weighted averaging aggregation. We find a necessary and sufficient condition for convergence to consensus and characterize outcomes where the society ends up polarized. Our results can also be used to understand more general situations, where ordered weighted averaging operators are only used to some extent. We provide an analysis of the speed of convergence and the possible outcomes of the process. Furthermore, we apply our results to fuzzy linguistic quantifiers, i.e., expressions like “most” or “at least a few”.


Subject(s):
Issue Date:
2013-05
Publication Type:
Working or Discussion Paper
PURL Identifier:
http://purl.umn.edu/151381
Total Pages:
40
JEL Codes:
C7; D7; D85
Series Statement:
CCSD
51.2013




 Record created 2017-04-01, last modified 2017-08-27

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