A Comprehensive Trust Evaluation Model for Social Networks
A Comprehensive Trust Evaluation Model for Social Networks
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DOI：
10.1166/jctn.2016.5050
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发表时间：
2016-02
影响因子：
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通讯作者：
Xianjia Meng;Guohua Geng;Jianfeng Ma
中科院分区：
文献类型：
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作者：
Xianjia Meng;Guohua Geng;Jianfeng Ma
社交网络是人们分享思想、观点和经验的流行平台。信任对于保护用户能够享受它而不必担心隐私泄露和欺诈起着重要的作用。在本文中，我们提出了一种新的方法来量化信任。它认为构成信任的三个主观方面是态度、行为和经验。我们提出了一种基于贝叶斯的方法来预测社会网络中的信任。我们已经开发了算法来计算我们的模型，并在twitter数据上验证这些方法。实验结果表明，该方法比现有方法具有更高的精度.
Social network is a popular platform for people sharing thoughts, opinions and experiences. Trust plays an important role to protect users who can enjoy it without the fear of privacy leak and fraud. In this paper, we present a novel method to quantify trust. It considers the three subjective aspects to constitute trust, which is attitude, behavior and experience. And we propose an Bayesian based approach to predict trust in the social network. We have developed algorithms to compute our model and validate these approaches on the twitter data. The result shows that our approach is more accuracy than exist approaches.