Posting behaviour Dynamics and Active Filtering for Content Diversity in Social Networks

Alexandre Masson 1 Yezekael Hayel 2 Eitan Altman 3, 4, 5
1 SAFRAN Group
2 LIA - Laboratoire Informatique d'Avignon
3 NEO - Network Engineering and Operations
CRISAM - Inria Sophia Antipolis - Méditerranée
4 UCA - Université Côte d'Azur
5 LINCS - Laboratory of Information, Network and Communication Sciences
Abstract : In this paper, we have two objectives: First we model the posting behaviour of publishers in Social Networks which have externalities, and the second objective is to propose content active filtering in order to increase content diversity from different publishers. By externalities, we mean that when the quantity of posted contents from a specific publisher impacts the popularity of other posted contents. We introduce a dynamical model to describe the posting behaviour of publishers taking into account these externalities. Our model is based on stochastic approximations and sufficient conditions are provided to ensure its convergence to a unique rest point. We provide a close form of this rest point and show that it can be obtained as the unique equilibrium of a non-cooperative game. Content Active Filtering (CAF) are actions taken by the administrator of the Social Network in order to promote some objectives related to the quantity of contents posted in various contents. As objective of the CAF we shall consider maximizing the diversity of posted contents. Finally, we illustrate our results through numerical simulations and we validate them with real data extracted from social networks.
Keywords : Game Theory Online Social Networks Posting Behavior Filtering Control Stochastic Approximations
Type de document :
Article dans une revue
IEEE transactions on Signal and Information Processing over Networks, IEEE, 2017, 3 (2), pp.376-387. 〈10.1109/TSIPN.2017.2696738〉
Liste complète des métadonnées

Littérature citée [37 références]  Voir  Masquer  Télécharger
https://hal.inria.fr/hal-01536172
Contributeur : Eitan Altman <>
Soumis le : samedi 10 juin 2017 - 15:33:13
Dernière modification le : mercredi 21 mars 2018 - 18:57:46
Document(s) archivé(s) le : mercredi 13 décembre 2017 - 12:14:47

Fichier

revisedPosting0317R1.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

UPMC | INRIA | INRIA2017 | UNIV-COTEDAZUR

Citation

Alexandre Masson, Yezekael Hayel, Eitan Altman. Posting behaviour Dynamics and Active Filtering for Content Diversity in Social Networks. IEEE transactions on Signal and Information Processing over Networks, IEEE, 2017, 3 (2), pp.376-387. 〈10.1109/TSIPN.2017.2696738〉. 〈hal-01536172〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

167

Téléchargements de fichiers

58

Contact


archive-ouverte@inria.fr