Social Network Analysis for Trust Prediction - Archive ouverte HAL Access content directly
Conference Papers Year : 2017

Social Network Analysis for Trust Prediction

(1) , (2)
1
2
Davide Ceolin
  • Function : Author
  • PersonId : 996039
Simone Potenza
  • Function : Author
  • PersonId : 1024076

Abstract

From car rental to knowledge sharing, the connection between online and offline services is increasingly tightening. As a consequence, online trust management becomes crucial for the success of services run in the physical world. In this paper, we outline a framework for identifying social web users more inclined to trust others by looking at their profiles. We use user centrality measures as a proxy of trust, and we evaluate this framework on data from Konnektid, a knowledge sharing social Web platform. We introduce five metrics for measuring trust. Performance achieved an accuracy between 43% and 99%.
Fichier principal
Vignette du fichier
450659_1_En_5_Chapter.pdf (230 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01651167 , version 1 (28-11-2017)

Licence

Attribution - CC BY 4.0

Identifiers

Cite

Davide Ceolin, Simone Potenza. Social Network Analysis for Trust Prediction. 11th IFIP International Conference on Trust Management (TM), Jun 2017, Gothenburg, Sweden. pp.49-56, ⟨10.1007/978-3-319-59171-1_5⟩. ⟨hal-01651167⟩
94 View
89 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More