International Conference on Belief Functions

BELIEF 2014: Belief Functions: Theory and Applications pp 115-123 | Cite as

Belief Approach for Social Networks

  • Salma Ben Dhaou
  • Mouloud Kharoune
  • Arnaud Martin
  • Boutheina Ben Yaghlane
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8764)

Abstract

Nowadays, social networks became essential in information exchange between individuals. Indeed, as users of these networks, we can send messages to other people according to the links connecting us. Moreover, given the large volume of exchanged messages, detecting the true nature of the received message becomes a challenge. For this purpose, it is interesting to consider this new tendency with reasoning under uncertainty by using the theory of belief functions. In this paper, we tried to model a social network as being a network of fusion of information and determine the true nature of the received message in a well-defined node by proposing a new model: the belief social network.

Keywords

Social Networks Belief Network Information Fusion Belief functions 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Salma Ben Dhaou
    • 1
    • 2
  • Mouloud Kharoune
    • 1
    • 2
  • Arnaud Martin
    • 1
    • 2
  • Boutheina Ben Yaghlane
    • 1
    • 2
  1. 1.LARODECLe BardoTunisia
  2. 2.IRISA, Université de Rennes 1,IUT de LannionLannion cedexFrance

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