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Trusted Friends’ Computation Method Considering Social Network Interactions’ Time

  • Mohamed FrikhaEmail author
  • Houcemeddine Turki
  • Mohamed Ben Ahmed Mhiri
  • Faiez Gargouri
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 941)

Abstract

Based on the assumption that users generally tend to use entities proposed by friends rather than strangers and that trust among friends significantly correlates with user’s trends, we decided to refer to research conducted on the evolving field of social trust computation. Although many models were proposed to analyze computational trust for various applications of social web, little importance is given to the time factor even by models that represent trust as a source of recommendation measurement. In this paper, we propose to integrate the temporal factor in assessing trust between social network friends. We define a time-aware method for an implicit trust determination between Facebook friends. Then, we integrate it in a mobile app we have developed for identifying trusted friends in social networks. Finally, we assess our method using an objective statistical method and compare it with others methods in the literature to show the importance of the time of interactions between users for a better calculation of social trust and consequently for an enhanced identification of trusted friends in social networks.

Keywords

Trust Social networks Users’ interactions Recommender systems 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Mohamed Frikha
    • 1
    Email author
  • Houcemeddine Turki
    • 2
  • Mohamed Ben Ahmed Mhiri
    • 1
  • Faiez Gargouri
    • 1
  1. 1.MIRACL LaboratoryUniversity of SfaxSfaxTunisia
  2. 2.Faculty of Medicine of SfaxUniversity of SfaxSfaxTunisia

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