Communication Dans Un Congrès Année : 2017

Budget Allocation in Binary Opinion Dynamics

Résumé

In this article we study the allocation of a budget to promote an opinion in a group of agents. We assume that their opinion dynamics are based on the well-known voter model. We are interested in finding the most efficient use of a budget over time in order to manipulate a social network. We address the problem using the theory of discounted Markov decision processes. Our contributions can be summarized as follows: (i) we introduce the discounted Markov decision process in our cases, (ii) we present the corresponding Bellman equations, and, (iii) we solve the Bellman equations via backward programming. This work is a step towards providing a solid formulation of the budget allocation in social networks.

Fichier principal
Vignette du fichier
Article.pdf (383.79 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Licence
Loading...

Dates et versions

hal-01636965 , version 1 (22-11-2017)

Licence

Identifiants

Citer

Susana Iglesias Rey, Patricio Reyes, Alonso Silva. Budget Allocation in Binary Opinion Dynamics. 3rd Spring School on Networks co-located with (ChileCON 2017), Oct 2017, Pucon, Chile. ⟨hal-01636965⟩
341 Consultations
184 Téléchargements

Altmetric

Partager

  • More