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Título del libro:
Título del capítulo: Complex Network in Earthquakes and Aftershocks: The Mexico Case

Autores UNAM:
IDALIA FLORES DE LA MOTA;

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Autores externos:

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Idioma:

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Año de publicación:
2024

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Palabras clave:

Earthquake effects; Large scale systems; Air traffics; AS-links; Gutenberg-Richter law; Me-xico; Network traffic; Neural-networks; Scale-free; Seismic event; Small worlds; Traffic networks; Small-world networks

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Resumen:

Some studies have demonstrated that earthquakes and their aftershocks can be described as complex networks such as neural networks and air traffic networks. These networks represent seismic events as nodes and the correlations between them (such as based on distance, time, and magnitude) as links. In the present study, the correlation of activity between main seismic events (earthquakes) and aftershocks occurring along the Mexican coast of Oaxaca in 2018 was quantified over a 15-day period. The correlation was based on the Gutenberg?Richter law, the fractal appearance of earthquake epicenters, and the Omori law based on the methodology of Baiesi and Paczuski; however, earthquakes with a moment magnitude greater than or equal to 5 are defined as mainshocks. The aim of this study is to create an earthquake network, specifically in the Oaxaca region, using complex network theory. Topological properties of the seismic network are analyzed, such as the degree distribution, network diameter, and clustering coefficient. It is found that the complex network associated with the earthquakes exhibits characteristics of a scale-free complex network and a small-world network. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

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Entidades citadas de la UNAM:

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Fuente:


ISBN:
9783031674396
Editorial:
Springer Science and Business Media Deutschland GmbH

Tipo de producto:
Conference Paper

DOI:
10.1007/978-3-031-67440-2_4