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基于含时网络数据的卫星网络模体识别方法研究

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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G P S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M4子图浓度呈正相关.
On Motif Counts Method of Satellite Network Based on Temporal Network Data
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 an-tennas,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 cor-related with the concentration of the triangular M4 subgraph with special structural significance.

satellite networkmotif countssubgraph concentration

胡博仁、裴忠民、罗章凯、丁杰

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航天工程大学 复杂电子系统仿真重点实验室,北京 101416

航天工程大学 电子与光学工程系,北京 101416

卫星网络 模体识别 子图浓度

复杂电子系统仿真重点实验室基础研究项目

DXZT-JC-ZZ-2020-001

2024

复杂系统与复杂性科学
青岛大学

复杂系统与复杂性科学

CSTPCD北大核心
影响因子:0.798
ISSN:1672-3813
年,卷(期):2024.21(1)
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