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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社交网络信息传播的智能进化


在社交网络中，恶意用户的存在会造成许多有害的后果。为了减少他们的负面影响，理性用户有必要仔细识别每个邻居并与他们互动，以保护自己免受恶意邻居的侵害。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，提出了一种基于进化博弈论的智能进化模型。该模型考虑了用户决策过程中的当前声誉和即时激励。根据用户是否与他人共享声誉值，我们分别引入不互惠原则和间接互惠原则的方案。通过社会规范和声誉更新策略，我们通过明确考虑恶意用户的影响，从理论上分析了进化动态和相应的 ESS。最后，基于合成网络和真实世界数据进行模拟，以验证所提出的智能进化模型的有效性。