An Evidential Method for Correcting Noisy Information in Social Network

Abstract : Nowadays, social networks have become an important part of our daily lives. Hence, several researchers have been interested in the study and analysis of the interactions between the entities composing this type of networks. By modeling a social network, we can assign attributes to nodes and links based on network and community structure. These attributes which may be uncertain, imprecise or even noisy, involve obtaining a non-coherent network. In order to remedy this problem, we propose, in this paper, a method that corrects the noise in the network using the theory of belief functions.
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Article dans une revue
Online Social Networks and Media, Elsevier, 2018, Volume 7, pp.30-44
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https://hal.archives-ouvertes.fr/hal-01868866
Contributeur : Salma Ben Dhaou <>
Soumis le : jeudi 6 septembre 2018 - 09:03:12
Dernière modification le : vendredi 16 novembre 2018 - 01:32:14

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  • HAL Id : hal-01868866, version 1

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Salma Ben Dhaou, Mouloud Kharoune, Arnaud Martin, Boutheina Ben Yaghlane. An Evidential Method for Correcting Noisy Information in Social Network. Online Social Networks and Media, Elsevier, 2018, Volume 7, pp.30-44. 〈hal-01868866〉

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