Matching User Accounts Across Online Social Networks: Methods and Applications

Abstract : In this thesis, we develop and analyze methods to identify the accounts that refer to the same person across different social networks or inside a social network. We exploit the techniques to match accounts inside a social network to detect impersonators online. We summarize the contributions of the thesis as follows.
Document type :
Theses
Liste complète des métadonnées

Cited literature [179 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/tel-01103357
Contributor : Oana Goga <>
Submitted on : Wednesday, January 14, 2015 - 3:18:44 PM
Last modification on : Thursday, March 21, 2019 - 1:20:51 PM
Document(s) archivé(s) le : Saturday, April 15, 2017 - 5:30:25 PM

Identifiers

  • HAL Id : tel-01103357, version 1

Citation

Oana Goga. Matching User Accounts Across Online Social Networks: Methods and Applications. Computer science. LIP6 - Laboratoire d'Informatique de Paris 6, 2014. English. ⟨tel-01103357⟩

Share

Metrics

Record views

800

Files downloads

2089