基于含时网络数据的卫星网络模体识别方法研究

On Motif Counts Method of Satellite Network Based on Temporal Network Data

鉴于开展卫星网络局部结构研究是理解网络性质的重要手段,考虑星间链路天线可见性约束等条件,提出了一种基于含时网络数据的卫星网络模体识别方法,建立了从TLE文件输入到子结构识别输出的模体识别流程。以GPS卫星网络的三节点三边模体识别为例,结果发现在短时段内卫星天线最大扫描范围与具有特殊结构意义的三角形M 4子图浓度呈正相关。

Conducting research on the local structure of satellite networks is an important means to understand the nature of networks.Considering the visibility constraints of inter-satellite link antennas,a satellite network motif counts method based on temporal network data is proposed,and a motif counts process is established from TLE file input to substructure identification output;taking the three-node three-edge motif counts of GPS satellite network as an example,we found that in a short period of time maximum scanning range of the satellite antenna was positively correlated with the concentration of the triangular M 4 subgraph with special structural significance.