Research on analysis method of important nodes in spatial information network based on time cumulative graph model

Guodong Li; Zhongwen Zhao; Di Lu

doi:10.1117/12.2652709

6 September 2022 Research on analysis method of important nodes in spatial information network based on time cumulative graph model

Guodong Li, Zhongwen Zhao, Di Lu

Author Affiliations +

Proceedings Volume 12332, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2022); 123321W (2022) https://doi.org/10.1117/12.2652709
Event: International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2022), 2022, Chengdu, China

Abstract

Spatial information network has the characteristics of large spatio-temporal scale and high dynamic time-varying, so the mining of key nodes should be considered from a period of time. Based on the cumulative graph model, the spatial information network is modeled, the dynamic network model is constructed, the concept of the relevant connection path under the dynamic network is defined, and an important node analysis method based on the cumulative pattern of spatial information network is proposed, namely, important node mining. MATLAB and STK software are used to establish the real satellite simulation environment. Experimental results show that the proposed method can better mine the important nodes in the dynamic spatial information network.

Citation Download Citation

Guodong Li, Zhongwen Zhao, and Di Lu "Research on analysis method of important nodes in spatial information network based on time cumulative graph model", Proc. SPIE 12332, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2022), 123321W (6 September 2022); https://doi.org/10.1117/12.2652709

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