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Generalized opinion dynamics from local optimization rules
, Sarwate A.D., Vishwanath S.
Published in IEEE
2016
Volume: 2016-February
   
Pages: 1075 - 1079
Abstract
We study generalizations of the Hegselmann-Krause (HK) model for opinion dynamics, incorporating features and parameters that are natural components of observed social systems. The first generalization is one where the strength of influence depends on the distance of the agents' opinions. Under this setup, we identify conditions under which the opinions converge in finite time, and provide a qualitative characterization of the equilibrium. We interpret the HK model opinion update rule as a quadratic cost-minimization rule. This enables a second generalization: a family of update rules which possess different equilibrium properties. © 2015 IEEE.
About the journal
JournalData powered by TypesetConference Record - Asilomar Conference on Signals, Systems and Computers
PublisherData powered by TypesetIEEE
Open AccessNo