BACKGROUND In social networks, trust is a complex social network. Participants in online social networks want to share information and experiences with as many reliable users as possible. However, the modeling of trust is complicated and application dependent. Modeling trust needs to consider interaction history, recommendation, user behaviors and so on. Therefore, modeling trust is an important focus for online social networks. METHODS We propose a game theory-based trust measurement model for social networks. The trust degree is calculated from three aspects, service reliability, feedback effectiveness, recommendation credibility, to get more accurate result. In addition, to alleviate the free-riding problem, we propose a game theory-based punishment mechanism for specific trust and global trust, respectively. RESULTS AND CONCLUSIONS We prove that the proposed trust measurement model is effective. The free-riding problem can be resolved effectively through adding the proposed punishment mechanism.

中文翻译：

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基于博弈论的社交网络信任度量模型。

背景技术在社交网络中，信任是一个复杂的社交网络。在线社交网络的参与者希望与尽可能多的可靠用户分享信息和经验。然而，信任的建模是复杂的并且依赖于应用程序。建模信任需要考虑交互历史、推荐、用户行为等。因此，建模信任是在线社交网络的一个重要焦点。方法 我们提出了一种基于博弈论的社交网络信任测量模型。从服务可靠性、反馈有效性、推荐可信度三个方面计算信任度，以获得更准确的结果。此外，为了缓解搭便车问题，我们分别针对特定信任和全局信任提出了一种基于博弈论的惩罚机制。结果与结论 我们证明了所提出的信任度量模型是有效的。通过增加所提出的惩罚机制，可以有效解决搭便车问题。