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Agent-Based Simulation of Rumor Propagation on Social Network Based on Active Immune Mechanism

机译:基于主动免疫机制的基于Agent的社交网络谣言传播仿真

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摘要

To simulate the rumor propagation process on online social network during emergency, a new rumor propagation model was built based on active immune mechanism. The rumor propagation mechanisms were analyzed and corresponding parameters were defined. BA scale free network and NW small world network that can be used for representing the online social network structure were constructed and their characteristics were compared. Agent-based simulations were conducted on both networks and results show that BA scale free network is more conductive to spreading rumors and it can facilitate the rumor refutation process at the same time. Rumors paid attention to by more people is likely to spread quicker and broader but for which the rumor refutation process will be more effective. The model provides a useful tool for understanding and predicting the rumor propagation process on online social network during emergency, providing useful instructions for rumor propagation intervention.
机译:为了模拟突发事件在网上社交网络上的谣言传播过程,建立了基于主动免疫机制的新谣言传播模型。分析了谣言的传播机制,并定义了相应的参数。构建了可用于表示在线社交网络结构的BA无标度网络和NW小世界网络,并比较了它们的特性。在这两个网络上都进行了基于代理的模拟,结果表明,BA无标度网络更容易传播谣言,并且可以同时促进谣言驳斥过程。越来越多的人关注的谣言可能会传播得越来越快,但对于谣言的驳斥过程会更有效。该模型为了解和预测紧急情况下在线社交网络上的谣言传播过程提供了有用的工具,为谣言传播干预提供了有用的指导。

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