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A trust evaluation scheme for complex links in a social network: a link strength perspective

机译:社交网络中复杂链接的信任评估方案:链接强度观点

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摘要

Potential security threats pose a significant challenge to evaluating the trustworthiness of complex links among users in a social network. Traditional trust computation methods typically consider user comments or interaction, thereby reflecting the trustworthiness between users according to their past experiences. However, the tie strength, which reflects the closeness of user relationships, is also a potential factor for estimating the trustworthiness of links among users. To incorporate this indicator, we propose a trust evaluation scheme for complex links comprising two aspects: the reliability and strength of links among uses. Our main contributions are (1) a trust calculation method, including direct trust for directly linked users and indirect trust for indirectly linked users, which is established based on the comment factor, forwarding factor, and approving factor; (2) a link strength evaluation method to determine the trustworthiness of direct and indirect links between users considering comment stability, mutual trust, interaction frequency, and common neighbours and community similarity, and (3) a link trust evaluation algorithm based on the link trust matrix synthesizing the reliability and strength of links. The experimental results and analysis show that our proposed scheme is feasible and effective in improving the performance of trust evaluation in a social network.
机译:潜在的安全威胁给评估社交网络中用户之间复杂链接的可信度提出了重大挑战。传统的信任计算方法通常考虑用户评论或交互,从而根据用户过去的经验反映用户之间的信任度。但是,反映用户关系的紧密度的联系强度也是估计用户之间链接的可信度的潜在因素。为了纳入该指标,我们提出了一种针对复杂链接的信任评估方案,该方案包括两个方面:用途之间链接的可靠性和强度。我们的主要贡献是:(1)一种信任计算方法,包括基于评论因子,转发因子和批准因子建立的对直接链接用户的直接信任和对间接链接用户的间接信任; (2)考虑评论稳定性,互信,交互频率,共同邻居和社区相似度的用户之间直接和间接链接的可信度的链接强度评估方法,以及(3)基于链接信任的链接信任评估算法矩阵综合了链接的可靠性和强度。实验结果和分析表明,本文提出的方案在提高社交网络信任评估性能方面是可行和有效的。

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