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Information Journal Paper

Title

Bayesian Networks Based Trust Model in Social Networks

Pages

  29-38

Abstract

Social Networks, networks that have come into existence, are on the Internet, whose purpose of the establishment is to communicate with different people from different societies. Social Networks are a developed form whose information is not trusted by all individuals. Although, it is a popular network that can provide trusted information for some people. If one or more users receive some information from oth-ers, they should assure they have not recieved incorrect data from malicious users. Solutions to these prob-lems are confidence models. Provided that trust deals withpossibilities, Bayesian Networks use possibilities to solve problems. As a result, the Bayesian Network can improve the calculation of trust. In this study, the proposed model (BTSN) presents a model for calculating confidence using Bayesian Networks for social networking. This model is able to calculate the confidence accurately and, in a large scale, can be used in Social Networks. In addition, the the performance and methods have been studied.

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    APA: Copy

    Hosseinnezhad, v., & Pourhaji Kazem, A.A.. (2018). Bayesian Networks Based Trust Model in Social Networks. JOURNAL OF ELECTRONIC AND CYBER DEFENCE, 6(2 (22) ), 29-38. SID. https://sid.ir/paper/243153/en

    Vancouver: Copy

    Hosseinnezhad v., Pourhaji Kazem A.A.. Bayesian Networks Based Trust Model in Social Networks. JOURNAL OF ELECTRONIC AND CYBER DEFENCE[Internet]. 2018;6(2 (22) ):29-38. Available from: https://sid.ir/paper/243153/en

    IEEE: Copy

    v. Hosseinnezhad, and A.A. Pourhaji Kazem, “Bayesian Networks Based Trust Model in Social Networks,” JOURNAL OF ELECTRONIC AND CYBER DEFENCE, vol. 6, no. 2 (22) , pp. 29–38, 2018, [Online]. Available: https://sid.ir/paper/243153/en

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