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Coupling centrality and authority of co-processing model on complex networks

机译:复杂网络上协同处理模型的中心性和权威性耦合

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摘要

Coupling centrality and authority of co-processing model on complex networks are investigated in this paper. As one crucial factor to determine the processing ability of nodes, the information flow with potential time lag is modeled by co-processing diffusion which couples the continuous time processing and the discrete diffusing dynamics. Exact results on master equation and stationary state are obtained to disclose the formation. Considering the influence of a node to the global dynamical behavior, coupling centrality and authority are introduced for each node, which determine the relative importance and authority of nodes in the diffusion process. Furthermore, the experimental results on large-scale complex networks confirm our analytical prediction.
机译:本文研究了协同处理模型在复杂网络上的耦合中心性和权威性。作为确定节点处理能力的关键因素,具有潜在时滞的信息流通过协同处理扩散建模,该处理将连续时间处理和离散扩散动力学耦合在一起。获得关于主方程和稳态的精确结果以揭示形成。考虑到节点对整体动力学行为的影响,为每个节点引入了耦合中心和权限,从而确定了节点在扩散过程中的相对重要性和权限。此外,在大型复杂网络上的实验结果证实了我们的分析预测。

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