Chinese Physics B, Volume. 29, Issue 10, (2020)
Modeling and analysis of the ocean dynamic with Gaussian complex network
Figures & Tables(8)
Fig. 1. Process of complex network modeling based on surface sea temperature (SST).
Fig. 2. Degree distribution of nodes in (left) SG-network (right) MG-network.
Fig. 3. Degree log
Fig. 5. Clustering coefficient distribution of the network model at geographic location.
Fig. 6. Betweenness distribution of the network model at geographic location.
Table 1. Average clustering coefficient, distance and diameter for the networks constructed by Gaussian approach in three periods.
View tableView in ArticleTable 1. Average clustering coefficient, distance and diameter for the networks constructed by Gaussian approach in three periods.
Clustering coefficient Distance Diameter La Niña period MG-network 0.136 2.083 4 SG-network 0.102 2.905 8 Normal period MG-network 0.302 1.98 3 SG-network 0.132 2.07 4 El Niño period} MG-network 0.1585 8189 6 SG-network 0.261 1.809 4
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Xin Sun, Yongbo Yu, Yuting Yang, Junyu Dong, Christian Böhm, Xueen Chen. Modeling and analysis of the ocean dynamic with Gaussian complex network[J]. Chinese Physics B, 2020, 29(10):
Paper Information
Received: Apr. 17, 2020
Accepted: --
Published Online: Apr. 21, 2021
The Author Email: Dong Junyu (dongjunyu@ouc.edu.cn)
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