A Generalized Fractional Program for Maximizing Content Popularity in Online Social Networks - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2018

A Generalized Fractional Program for Maximizing Content Popularity in Online Social Networks

Résumé

In this paper, we consider a "generalized" fractional program in order to solve a popularity optimization problem in which a source of contents controls the topics of her contents and the rate with which posts are sent to a time line. The objective of the source is to maximize its overall popularity in an Online Social Network (OSN). We propose an efficient algorithm that converges to the optimal solution of the Popularity maximization problem.
Fichier principal
Vignette du fichier
generalized-fractional-program-6.pdf (251.89 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01907060 , version 1 (28-10-2018)

Identifiants

  • HAL Id : hal-01907060 , version 1

Citer

Alexandre Reiffers-Masson, Yezekael Hayel, Eitan Altman, Guillaume Marrel. A Generalized Fractional Program for Maximizing Content Popularity in Online Social Networks. International Symposium on Foundations and Applications of Big Data Analytics (FAB), Aug 2018, Barcelona, Spain. ⟨hal-01907060⟩
78 Consultations
135 Téléchargements

Partager

Gmail Facebook X LinkedIn More