面向结构洞的指挥控制网络关键节点识别方法

针对目前指挥控制网络关键节点识别方法利用局部信息识别精度低、利用全局信息识别复杂度高的问题,提出了一种面向结构洞的指挥控制网络关键节点识别方法,该方法综合考虑了指挥控制网络结构特征和全局拓扑信息,引入了层级流介数的概念用以计算网络的约束系数。实验分析表明,该方法提高了关键节点识别精度,降低了算法复杂度,更加适用于指挥控制网络关键节点识别的需要。

Method for Key Nodes Identification in Command and Control Network by Considering Structural Holes

For the problem of low identification accuracy caused by using local information and high complexity caused by using global information of key nodes identification in current military Command and Control (C2) networks,this paper has proposed a method based on structural hole, which considered the structure features of C2 network and global topology information,and introduced the concept of Level Flow Betweenness for the calculation of network Constraint Index. Experiments and analytical results shows that this method improves the identification accuracy,reduces the complexity of the algorithm,and enhances serviceability.