In social network, the existence of malicious users can create lots of detrimental consequences. To diminish their negative influences, it is necessary for rational users to identify and interact with each neighbor carefully to protect themselves from malicious ones. Therefore, it is crucial to establish a rule for users’ interaction in order to mitigate malicious users’ influences. In this paper, we propose a smart evolution model based on evolutionary game theory by introducing the reputation mechanism. The model takes into account both current reputation and instant incentives during users’ decision-making process. On the basis of whether users share reputation values with others, we introduce schemes without reciprocity principle and with the indirect reciprocity principle respectively. With the social norm and reputation updating policy, we theoretically analyze the evolutionary dynamics and corresponding ESSs by explicitly considering the effects of malicious users. Finally, simulations based on synthetic networks and real-world data are conducted to validate the effectiveness of the proposed smart evolution model.

中文翻译：

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社交网络上信息扩散的智能演进

在社交网络中，恶意用户的存在会造成很多不利后果。为了减少其负面影响，理性用户必须仔细识别每个邻居并与之互动，以保护自己免受恶意用户的侵害。因此，建立用户交互规则以减轻恶意用户的影响至关重要。在本文中，我们通过引入声誉机制，提出了一种基于演化博弈论的智能演化模型。该模型同时考虑了当前的声誉和用户决策过程中的即时激励。在判断用户是否与他人共享声誉价值的基础上，分别介绍了无互惠原则和间接互惠原则。有了社会规范和声誉更新政策，我们在理论上通过明确考虑恶意用户的影响来分析进化动力学和相应的ESS。最后，基于合成网络和真实世界的数据进行了仿真，以验证所提出的智能进化模型的有效性。