Opinion Manipulation in Social Networks

Abstract : In this work, we are interested in finding the most efficient use of a budget to promote an opinion by paying agents within a group to supplant their true opinions. We model opinions as continuous scalars ranging from 0 to 1 with 1 (0) representing extremely positive (negative) opinion. We focus on asymmetric confidence between agents. The iterative update of an agent corresponds to the best response to other agents' actions. The resulting confidence matrix can be seen as an equivalent Markov chain. We provide simple and efficient algorithms to solve this problem and we show through an example how to solve the stated problem in practice.
Type de document :
Pré-publication, Document de travail
2016
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https://hal.inria.fr/hal-01357908
Contributeur : Alonso Silva <>
Soumis le : mardi 30 août 2016 - 15:55:51
Dernière modification le : mercredi 31 août 2016 - 01:03:24

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  • HAL Id : hal-01357908, version 1
  • ARXIV : 1608.08484

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Alonso Silva. Opinion Manipulation in Social Networks. 2016. 〈hal-01357908〉

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