How to Network in Online Social Networks

Abstract : In this paper, we consider how to maximize users' influence in Online Social Networks (OSNs) by exploiting social relationships only. Our first contribution is to extend to OSNs the model of Kempe et al. [1] on the propagation of information in a social network and to show that a greedy algorithm is a good approximation of the optimal algorithm that is NP-hard. However, the greedy algorithm requires global knowledge, which is hardly practical. Our second contribution is to show on simulations on the full Twitter social graph that simple and practical strategies perform close to the greedy algorithm.
Type de document :
Communication dans un congrès
6th IEEE INFOCOM International Workshop on Network Science for Communication Networks (NetSciCom 2014), May 2014, Toronto, Canada. pp.819-824, 2014, 〈10.1109/INFCOMW.2014.6849336〉
Liste complète des métadonnées

Littérature citée [11 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-00954271
Contributeur : Maksym Gabielkov <>
Soumis le : mardi 4 mars 2014 - 17:29:45
Dernière modification le : jeudi 11 janvier 2018 - 16:57:59
Document(s) archivé(s) le : mercredi 4 juin 2014 - 12:10:57

Fichiers

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

Identifiants

Collections

Citation

Giovanni Neglia, Xiuhui Ye, Maksym Gabielkov, Arnaud Legout. How to Network in Online Social Networks. 6th IEEE INFOCOM International Workshop on Network Science for Communication Networks (NetSciCom 2014), May 2014, Toronto, Canada. pp.819-824, 2014, 〈10.1109/INFCOMW.2014.6849336〉. 〈hal-00954271v2〉

Partager

Métriques

Consultations de la notice

557

Téléchargements de fichiers

203