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Information Journal Paper

Title

A Model to Publish Online Social Networks Data with Privacy Preserving

Pages

  87-112

Abstract

 Nowadays the growth in the use of Social networks among different classes of world community is increasingly undeniable. Social networks database include Rich and valuable resources whose release and analysis with the purpose of marketing, publicity, National Security, Health and etc. can benefit researchers of public and private institutions. But respect the privacy of the entities whose information is available to data miner analysis is essential as a legal protocol. In this Paper, through qualitative methodology Meta synthesis, all related dimensions, indicators and codes were identified and then the importance and priority of each of the factors was determined. Subsequently, the improved model of Anonymity was presented by an optimizing Firefly Algorithm and Fuzzy Clustering. The result of simulation and assessment of the proposed model on the data of four Social networks such as Facebook, YouTube, Twitter and Google+ depicts that Privacy Preserving of data with the lowest distortion ratio and the more usefulness of data.

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  • Cite

    APA: Copy

    Kosari Langari, Rohulla, SARDAR DONIGHI, SOHEILA, Amin Mousavi, Seyed Abdollah, & RADFAR, REZA. (2019). A Model to Publish Online Social Networks Data with Privacy Preserving. JOURNAL OF BUSINESS INTELLIGENCE MANAGEMENT STUDIES, 8(29 ), 87-112. SID. https://sid.ir/paper/268118/en

    Vancouver: Copy

    Kosari Langari Rohulla, SARDAR DONIGHI SOHEILA, Amin Mousavi Seyed Abdollah, RADFAR REZA. A Model to Publish Online Social Networks Data with Privacy Preserving. JOURNAL OF BUSINESS INTELLIGENCE MANAGEMENT STUDIES[Internet]. 2019;8(29 ):87-112. Available from: https://sid.ir/paper/268118/en

    IEEE: Copy

    Rohulla Kosari Langari, SOHEILA SARDAR DONIGHI, Seyed Abdollah Amin Mousavi, and REZA RADFAR, “A Model to Publish Online Social Networks Data with Privacy Preserving,” JOURNAL OF BUSINESS INTELLIGENCE MANAGEMENT STUDIES, vol. 8, no. 29 , pp. 87–112, 2019, [Online]. Available: https://sid.ir/paper/268118/en

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