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A trust model for multimedia social networks

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Abstract

In the emerging multimedia social networks environment, the trust relationship among users has a direct impact on the sharing and transmission mode of digital contents. To effectively assess direct or recommended trust between users, this paper proposed a multimedia social networks trust model based on small world theory. By introducing some share character factors, such as credible feedback of digital contents, feedback weighting factor and user share similarity, this model proposed a direct trust calculation window mechanism, recommended path finding algorithm, and multiple recommendation trust synthetic strategy. The simulation experiment showed that the model can dynamically update the trust value between users in real time, effectively measure the trust relationship, correctly identify malicious sharing users, and recommended trust synthesis mechanism can be adapted to trust evaluation of different types of risk scenarios.

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Acknowledgments

The work was sponsored by the National Natural Science Foundation of China (Grant No. 61003234), Program for Science & Technology Innovation Talents in Universities of Henan Province (Grant No. 2011HASTIT015), China Postdoctoral Science Foundation (Grant No. 20100471611), and Henan University of Science & Technology Doctors Research Fund (Grant No. 09001470).

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Authors and Affiliations

  1. School of Management, Xi’an Jiaotong University, Xi’an, 710049, People’s Republic of China

    Zhiyong Zhang

  2. Electronics Information Engineering College, Henan University of Science and Technology, Luoyang, 471003, People’s Republic of China

    Zhiyong Zhang

  3. School of Business, Renmin University of China, Beijing, 100872, People’s Republic of China

    Kanliang Wang

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  1. Zhiyong Zhang
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  2. Kanliang Wang
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Correspondence to Zhiyong Zhang.

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Zhang, Z., Wang, K. A trust model for multimedia social networks. Soc. Netw. Anal. Min. 3, 969–979 (2013). https://doi.org/10.1007/s13278-012-0078-4

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  • DOI: https://doi.org/10.1007/s13278-012-0078-4

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