Analysis of Korean Peninsula Earthquake Network Based on Event Shuffling and Network Shuffling
In this work, a Korean peninsula earthquake network, constructed via event-sequential linking known as the Abe–Suzuki method, was investigated in terms of network properties. A significance test for these network properties was performed via comparisons with those of two random networks, constructed...
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doaj-e485dce19d854911bb3cf9259cbda6472021-09-26T00:07:12ZengMDPI AGEntropy1099-43002021-09-01231236123610.3390/e23091236Analysis of Korean Peninsula Earthquake Network Based on Event Shuffling and Network ShufflingSeungsik Min0Gyuchang Lim1Department of Natural Science, Korea Naval Academy, Changwon 51704, KoreaKyungpook Institute of Oceanography, University of Kyungpook, Daegu 41566, KoreaIn this work, a Korean peninsula earthquake network, constructed via event-sequential linking known as the Abe–Suzuki method, was investigated in terms of network properties. A significance test for these network properties was performed via comparisons with those of two random networks, constructed from two approaches, that is, <i>EVENT</i> (<i>SEQUENCE</i>) <i>SHUFFLING</i> and <i>NETWORK</i> (<i>MATRIX</i>) <i>SHUFFLING</i>. The Abe–Suzuki earthquake network has a clear difference from the two random networks. However, the two shuffled networks exhibited completely different functions, and even some network properties for one shuffled datum are significantly high and those of the other shuffled data are low compared to actual data. For most cases, the event-shuffled network showed a functional similarity to the real network, but with different exponents/parameters. This result strongly claims that the Korean peninsula earthquake network has a spatiotemporal causal relation. Additionally, the Korean peninsula network properties are mostly similar to those found in previous studies on the US and Japan. Further, the Korean earthquake network showed strong linearity in a specific range of spatial resolution, that is, 0.20°~0.80°, implying that macroscopic properties of the Korean earthquake network are highly regular in this range of resolution.https://www.mdpi.com/1099-4300/23/9/1236Korean peninsula earthquake networkAbe and Suzuki methodevent shufflingnetwork shufflingcomplex network |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Seungsik Min Gyuchang Lim |
spellingShingle |
Seungsik Min Gyuchang Lim Analysis of Korean Peninsula Earthquake Network Based on Event Shuffling and Network Shuffling Entropy Korean peninsula earthquake network Abe and Suzuki method event shuffling network shuffling complex network |
author_facet |
Seungsik Min Gyuchang Lim |
author_sort |
Seungsik Min |
title |
Analysis of Korean Peninsula Earthquake Network Based on Event Shuffling and Network Shuffling |
title_short |
Analysis of Korean Peninsula Earthquake Network Based on Event Shuffling and Network Shuffling |
title_full |
Analysis of Korean Peninsula Earthquake Network Based on Event Shuffling and Network Shuffling |
title_fullStr |
Analysis of Korean Peninsula Earthquake Network Based on Event Shuffling and Network Shuffling |
title_full_unstemmed |
Analysis of Korean Peninsula Earthquake Network Based on Event Shuffling and Network Shuffling |
title_sort |
analysis of korean peninsula earthquake network based on event shuffling and network shuffling |
publisher |
MDPI AG |
series |
Entropy |
issn |
1099-4300 |
publishDate |
2021-09-01 |
description |
In this work, a Korean peninsula earthquake network, constructed via event-sequential linking known as the Abe–Suzuki method, was investigated in terms of network properties. A significance test for these network properties was performed via comparisons with those of two random networks, constructed from two approaches, that is, <i>EVENT</i> (<i>SEQUENCE</i>) <i>SHUFFLING</i> and <i>NETWORK</i> (<i>MATRIX</i>) <i>SHUFFLING</i>. The Abe–Suzuki earthquake network has a clear difference from the two random networks. However, the two shuffled networks exhibited completely different functions, and even some network properties for one shuffled datum are significantly high and those of the other shuffled data are low compared to actual data. For most cases, the event-shuffled network showed a functional similarity to the real network, but with different exponents/parameters. This result strongly claims that the Korean peninsula earthquake network has a spatiotemporal causal relation. Additionally, the Korean peninsula network properties are mostly similar to those found in previous studies on the US and Japan. Further, the Korean earthquake network showed strong linearity in a specific range of spatial resolution, that is, 0.20°~0.80°, implying that macroscopic properties of the Korean earthquake network are highly regular in this range of resolution. |
topic |
Korean peninsula earthquake network Abe and Suzuki method event shuffling network shuffling complex network |
url |
https://www.mdpi.com/1099-4300/23/9/1236 |
work_keys_str_mv |
AT seungsikmin analysisofkoreanpeninsulaearthquakenetworkbasedoneventshufflingandnetworkshuffling AT gyuchanglim analysisofkoreanpeninsulaearthquakenetworkbasedoneventshufflingandnetworkshuffling |
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