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Analysis of the South Korean Temperature Network Linked by DCCA Methodology

  • Min, Seungsik
In this paper, we carried out a network analysis of the South Korean temperature data of 59 regions. We calculated the correlation coefficients by the detrended cross correlation analysis (DCCA) from Sep. 2011 to Aug. 2016. The network is constructed by connecting links for the pairs exceeding 0.8794, in order to match the number of links with the precipitation network, which is the precedent research. By the network analysis, we derived the degree distribution, as well as the characteristic path length, clustering coefficient, assortativity and modularity. After the analysis, we could infer the South Korean temperature network has not small-world and scale-free properties. Also, we confirmed that the network topology is quite robust and assortative. Most of the properties are same as the precipitation network
Select Volume / Issue:
Year:
2017
Type of Publication:
Article
Keywords:
Temperature Network; Detrended Cross Correlation Analysis; Characteristic Path Length; Clustering Coefficient; Assortativity; Modularity
Journal:
IJASM
Volume:
4
Number:
6
Pages:
164-168
Month:
November
ISSN:
2394-2894
Hits: 161

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