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Multilevel partition algorithm based on weighted label propagation

机译:基于加权标签传播的多级分区算法

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With the increasingly complex network structure of power communication network, it is difficult to give accurate results of network planning, design and optimization upgrade by simple theoretical analysis, so it is necessary to rely on simulation to provide data support. When simulating through a network simulator, if the scenario is complex beyond the capabilities of the simulator, it will affect the authenticity of the simulation results, so the huge network needs to be split into small-scale subnets that are easier to simulate. However, the existing multilevel partition algorithms have limitations such as low graph contraction efficiency, failure to maintain the network community structure and will cause unbalance in scale of the subgraphs. Therefore, a multilevel partition algorithm based on weighted label propagation is proposed for these limitations. Under the premise of guaranteeing the original graph substructure, the node matching efficiency is accelerated and the contraction effect is improved.
机译:随着电力通信网络的越来越复杂的网络结构,难以通过简单的理论分析提供网络规划,设计和优化升级的准确结果,因此有必要依靠模拟来提供数据支持。在通过网络模拟器模拟时,如果方案超出模拟器的功能,它将影响模拟结果的真实性,因此庞大的网络需要分成更容易模拟的小规模子网。然而,现有的多级分区算法具有诸如低图形收缩效率的限制,未能维持网络界结构,并且将导致子图的规模不平衡。因此,提出了一种基于加权标签传播的多级分区算法,用于这些限制。在保证原始图形子结构的前提下,节点匹配效率加速,收缩效果得到改善。

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