论文标题
网络上偏爱意见动力学模型的广义平均近似值
A generalised mean-field approximation for the Deffuant opinion dynamics model on networks
论文作者
论文摘要
当假定代理在网络上的相互作用遵循偏爱的意见动力学模型时，已知结果取决于基础网络的结构。对于偏爱模型的现有均值近似值无法捕获此行为。在本文中，得出了一个广义的平均场近似值，该近似是通过网络的学位分布或社区结构来解释网络拓扑对偏爱动态的影响。通过与合成网络和现实世界网络上的大规模蒙特卡洛模拟进行比较，检查了近似值的准确性。
When the interactions of agents on a network are assumed to follow the Deffuant opinion dynamics model, the outcomes are known to depend on the structure of the underlying network. This behavior cannot be captured by existing mean-field approximations for the Deffuant model. In this paper, a generalised mean-field approximation is derived that accounts for the effects of network topology on Deffuant dynamics through the degree distribution or community structure of the network. The accuracy of the approximation is examined by comparison with large-scale Monte Carlo simulations on both synthetic and real-world networks.
