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Dynamical Response of Networks Under External Perturbations: Exact Results

机译:网络在外部扰动下的动态响应:精确结果

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We give exact statistical distributions for the dynamic response of influence networks subjected to external perturbations. We consider networks whose nodes have two internal states labeled 0 and 1. We let nodes be frozen in state 0, in state 1, and the remaining nodes change by adopting the state of a connected node with a fixed probability per time step. The frozen nodes can be interpreted as external perturbations to the subnetwork of free nodes. Analytically extending and to be smaller than 1 enables modeling the case of weak coupling. We solve the dynamical equations exactly for fully connected networks, obtaining the equilibrium distribution, transition probabilities between any two states and the characteristic time to equilibration. Our exact results are excellent approximations for other topologies, including random, regular lattice, scale-free and small world networks, when the numbers of fixed nodes are adjusted to take account of the effect of topology on coupling to the environment. This model can describe a variety of complex systems, from magnetic spins to social networks to population genetics, and was recently applied as a framework for early warning signals for real-world self-organized economic market crises.
机译:我们给出了受到外部扰动影响网络动态响应的精确统计分布。我们考虑其节点具有两个内部状态(分别为0和1)的网络。我们让节点冻结在状态0(即状态1)中,而其余节点通过采用每个时间步长具有固定概率的连接节点的状态来进行更改。冻结的节点可以解释为自由节点子网的外部扰动。通过分析扩展并小于1,可以对弱耦合的情况进行建模。我们为完全连接的网络精确地求解动力学方程,获得平衡分布,任意两个状态之间的转移概率以及达到平衡的特征时间。当调整固定节点的数量以考虑拓扑对耦合到环境的影响时,我们的精确结果是对其他拓扑(包括随机,规则点阵,无标度和小型世界网络)的出色近似,该模型可以描述从磁自旋到社会网络再到人口遗传学等各种复杂的系统,并且最近被用作现实世界自组织的经济市场危机的预警信号框架。

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