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Control Strategies for Crowd Emotional Contagion Coupling the Virtual and Physical Cyberspace in Emergencies

机译:人群情绪传染的控制策略耦合紧急情况下的虚拟和物理网络空间

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摘要

Crowd emotional contagion occurs in both virtual and physical cyberspace at the same time. To realistically simulate the process of crowd emotional contagion, the influences of virtual cyberspace and physical cyberspace should be considered comprehensively. In addition, control strategies significantly affect the speed and scale of emotional contagion in a crowd. However, control strategies described by existing studies are inaccurate since few of them consider both physical and virtual cyberspace to jointly study the influence of control strategies on crowd emotional contagion. To achieve more accurate control, we first establish a novel personalized emotional contagion computational (NP-ECC) model to study control strategies of crowd emotional contagion coupling the physical and virtual cyberspace. Second, we construct a personalized BA scale-free network to calculate the phase transition threshold of the proposed NP-ECC model more accurately. Finally, we propose two algorithms, control strategies-BA (CS-BA) and threshold-BA (T-BA), to verify the stability of the NP-ECC model and the accuracy of the phase transition threshold, respectively. The experimental results show that our method can better control the speed and scale of crowd emotional contagion and thus can provide guidance for a large-scale crowd evacuation.
机译:人群情绪传染在两个虚拟和物理网络空间中发生。为了实际模拟人群情绪传染的过程,应全面地考虑虚拟网络空间和物理网络空间的影响。此外,控制策略显着影响人群中情绪传染的速度和规模。然而,现有研究描述的控制策略是不准确的,因为它们很少有人考虑身体和虚拟网络空间,共同研究控制策略对人群情绪传染的影响。为了实现更准确的控制,我们首先建立一个新颖的个性化情感传染计算(NP-ECC)模型,以研究耦合物理和虚拟网络空间的人群情绪传染的控制策略。其次,我们构建一个个性化BA无垢网络,以更准确地计算所提出的NP-ECC模型的相变阈值。最后,我们提出了两种算法,控制策略-BA(CS-BA)和阈值-BA(T-BA),以验证NP-ECC模型的稳定性和相变阈值的精度。实验结果表明,我们的方法可以更好地控制人群情绪传染的速度和规模,从而可以为大规模人群疏散提供指导。

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