Motifs in earthquake networks: Romania, Italy, United States of America, and Japan

Fuente: arXiv
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Main Authors: Pană, Gabriel Tiberiu, Nicolin-Żaczek, Alexandru
Format: Preprint
Published: 2023
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author Pană, Gabriel Tiberiu
Nicolin-Żaczek, Alexandru
author_facet Pană, Gabriel Tiberiu
Nicolin-Żaczek, Alexandru
contents We present a detailed description of seismic activity in Romania, Italy, and Japan, as well as the California seismic zone in the United States of America, based on the statistical analysis of the underlying earthquake networks used to model the aforementioned zones. Our results on network connectivity and simple network motifs allow for a complex description of seismic zones, while at the same time reinforcing the current understanding of seismicity as a critical phenomenon. The reported distributions on node connectivity, three-, and four-event motifs are consistent with power-law, i.e., scale-free, distributions over large intervals and are robust across earthquake networks obtained from different discretizations of the seismic zones of interest. In our analysis of the distributions of node connectivity and simple motifs, we distinguish between the global distribution and the powerlaw part of it with the help of maximum likelihood estimation (MLE) method and complementary cumulative distribution functions (CCDF). The main message is that the distributions reported for the aforementioned seismic zones have large power-law components, extending over some orders of magnitude, independent of discretization. All the results were obtained using publicly-available databases and open-source software, as well as a new toolbox available on GitHub, specifically designed to automatically analyze earthquake databases.
format Preprint
id arxiv_https___arxiv_org_abs_2308_05193
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Motifs in earthquake networks: Romania, Italy, United States of America, and Japan
Pană, Gabriel Tiberiu
Nicolin-Żaczek, Alexandru
Computational Physics
Geophysics
Physics and Society
We present a detailed description of seismic activity in Romania, Italy, and Japan, as well as the California seismic zone in the United States of America, based on the statistical analysis of the underlying earthquake networks used to model the aforementioned zones. Our results on network connectivity and simple network motifs allow for a complex description of seismic zones, while at the same time reinforcing the current understanding of seismicity as a critical phenomenon. The reported distributions on node connectivity, three-, and four-event motifs are consistent with power-law, i.e., scale-free, distributions over large intervals and are robust across earthquake networks obtained from different discretizations of the seismic zones of interest. In our analysis of the distributions of node connectivity and simple motifs, we distinguish between the global distribution and the powerlaw part of it with the help of maximum likelihood estimation (MLE) method and complementary cumulative distribution functions (CCDF). The main message is that the distributions reported for the aforementioned seismic zones have large power-law components, extending over some orders of magnitude, independent of discretization. All the results were obtained using publicly-available databases and open-source software, as well as a new toolbox available on GitHub, specifically designed to automatically analyze earthquake databases.
title Motifs in earthquake networks: Romania, Italy, United States of America, and Japan
topic Computational Physics
Geophysics
Physics and Society
url https://arxiv.org/abs/2308.05193