DocumentCode :
3522736
Title :
A stochastic opinion dynamics model with multiple contents
Author :
Louzada Pinto, Julio Cesar ; Chahed, Tijani ; Jakubowicz, Jeremie
Author_Institution :
Inst. Mines-Telecom, Telecom SudParis, Evry, France
fYear :
2013
fDate :
10-13 Dec. 2013
Firstpage :
612
Lastpage :
617
Abstract :
We introduce a new model of opinion dynamics in which agents interact with each other about several distinct opinions/contents. In most of the literature about opinion dynamics, agents perform convex combinations of other agents´ opinions. In our framework, a competition between opinions takes place: agents do not exchange all their opinions with each other, they only communicate about the opinions they like the most. Our model uses scores to take this competition into account: each agent maintains a list of scores for each opinion held. Opinions are selected according to their scores (the higher its score, the more likely an opinion is to be expressed) and then transmitted to neighbors. Once an agent receives an opinion it gives more credit to it, i.e. a higher score to this opinion. Under this new framework, we derive a convergence result which holds under mild assumptions on the way information is transmitted by agents and leads to consensus in a particular case. We also provide some numerical results illustrating the formation of consensus under different topologies (complete and ring graphs) and different initial conditions (random and biased towards a specific content).
Keywords :
behavioural sciences; convergence; graph theory; multi-agent systems; stochastic processes; agent interaction; agent opinion; convergence; convex combination; multiple contents; ring graphs; stochastic opinion dynamics model; topologies; Clocks; Convergence; Mathematical model; Probability distribution; Random variables; Stochastic processes; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
ISSN :
0743-1546
Print_ISBN :
978-1-4673-5714-2
Type :
conf
DOI :
10.1109/CDC.2013.6759949
Filename :
6759949
Link To Document :
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