Exploring Network Centralities in Spreading Processes

Abstract : Information and influence spread have been attracting a lot of attention due to the important role they play to numerous applications. Various previous studies have been focused on understanding the patterns during a spreading process. Most studies have been focusing on individual-based diffusion data and on inferring the diffusion network. In this work, we investigate the topological characteristics of individuals that are influenced and that participate in a diffusion process and present the patterns that are detected. We furthermore compare the in-dividuals' characteristics between a simulated and a real world spreading process and show the need for a more comprehensive model in this area.
Type de document :
Communication dans un congrès
International Symposium on Web AlGorithms (iSWAG), Jun 2016, Deauville, France. 〈http://iswag-symposium.org/〉
Liste complète des métadonnées

Littérature citée [9 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01346690
Contributeur : Maria Rossi <>
Soumis le : mardi 19 juillet 2016 - 14:32:37
Dernière modification le : mercredi 25 avril 2018 - 10:45:21

Fichier

paper3.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01346690, version 1

Collections

Citation

Maria Evgenia G. Rossi, Michalis Vazirgiannis. Exploring Network Centralities in Spreading Processes. International Symposium on Web AlGorithms (iSWAG), Jun 2016, Deauville, France. 〈http://iswag-symposium.org/〉. 〈hal-01346690〉

Partager

Métriques

Consultations de la notice

227

Téléchargements de fichiers

105