Local Trust Versus Global Trust Networks in Subjective Logic

Social web permits users to acquire information from anonymous people around the world. This leads to a serious question about the trustworthiness of information and sources. During the last decade, numerous models were proposed to model social trust in the service of social web. Trust modeling foll...

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Vydané v:2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) Ročník 1; s. 29 - 36
Hlavní autori: Haydar, Charif, Roussanaly, Azim, Boyer, Anne
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.11.2013
Predmet:
Communities
Computational modeling
Context
Context modeling
Data models
global trust
local trust
Mathematical model
recommender systems
reputation
subjective logic
trust
Uncertainty
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Abstract Social web permits users to acquire information from anonymous people around the world. This leads to a serious question about the trustworthiness of information and sources. During the last decade, numerous models were proposed to model social trust in the service of social web. Trust modeling follows two main axes, local trust (trust between pair of users), and global trust (user's reputation within the community). Subjective logic, is an extension of probabilistic logic that deals with the cases of lack of evidences. An elaborated local trust model based on subjective logic already exists. The aim of this work is to apply this model to the first time on a real data set. Then, we propose another global trust model based also on subjective logic. We apply both models on a real data set of a question answering social network that aims to assist people to find solutions to their technical problems in various domains. Our proposed global trust model ensures a better performance thanks to its precise interpretation of the context of trust, and its ability to satisfy new arrived users.
AbstractList Social web permits users to acquire information from anonymous people around the world. This leads to a serious question about the trustworthiness of information and sources. During the last decade, numerous models were proposed to model social trust in the service of social web. Trust modeling follows two main axes, local trust (trust between pair of users), and global trust (user's reputation within the community). Subjective logic, is an extension of probabilistic logic that deals with the cases of lack of evidences. An elaborated local trust model based on subjective logic already exists. The aim of this work is to apply this model to the first time on a real data set. Then, we propose another global trust model based also on subjective logic. We apply both models on a real data set of a question answering social network that aims to assist people to find solutions to their technical problems in various domains. Our proposed global trust model ensures a better performance thanks to its precise interpretation of the context of trust, and its ability to satisfy new arrived users.
Author Roussanaly, Azim
Boyer, Anne
Haydar, Charif
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  organization: Lab. Loria, Univ. de Lorraine, Vandœuvres-les-Nancy, France
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Snippet Social web permits users to acquire information from anonymous people around the world. This leads to a serious question about the trustworthiness of...
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SubjectTerms Communities
Computational modeling
Context
Context modeling
Data models
global trust
local trust
Mathematical model
recommender systems
reputation
subjective logic
trust
Uncertainty
Title Local Trust Versus Global Trust Networks in Subjective Logic
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