Main shocks and evolution of complex earthquake networks

Abe, Sumiyoshi; Suzuki, Norikazu

doi:10.1590/s0103-97332009000400014

Cited by 18 publications

(6 citation statements)

References 13 publications

(18 reference statements)

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“…Edges are also de ned in such a way that consecutive seismic events are connected by edges in terms of time. This network model is related to the model presented by Abe and Suzuki (Abe and Suzuki 2009, 2007; Abe et al 2011). They showed that the network of earthquakes is scaleless and has the structure of a small world.…”

Section: Methodology Of Earthquake Networkmentioning

confidence: 55%

Investigate of Iran Recurrence Earthquakes by the Network

Rezaei

Taghizadeh-Farahmand

2022

Preprint

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Human beings have encountered numerous natural disasters over time, that the earthquake phenomenon is one of the most damaging of all and has a very complex nature. Earthquakes manifest spatio-temporal complex behavior that can be studied using complex networks, which enabled us to recognize the global features of Earthquake. Studies on the earthquakes using the network method are based on how the network is constructed. In this paper, by constructing the network, the spatio-temporal recurrence of earthquakes occurring in the Zagros region, which is recorded at all the broadband and short-period stations of the Iranian Seismological Center (ISC, http://irsc.ut.ac.ir), are subject to statistical review. The results showed that in the Zagros area the spatio recurrence is about 0.020 km, and the time recurrence for all the thresholds of magnitude is similar to power relationship (1⁄Tα) with a α =-0.9 .

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Section: Methodology Of Earthquake Networkmentioning

confidence: 55%

Investigate of Iran Recurrence Earthquakes by the Network

Rezaei

Taghizadeh-Farahmand

2022

Preprint

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“…Such characteristics of the ARs network are representative of the prescription of the heterogeneous networks (e.g. Abe & Suzuki 2009).…”

Section: Discussionmentioning

confidence: 99%

Complex Network for Solar Active Regions

Daei

Safari

Dadashi

2017

ApJ

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Here, we developed a complex network of solar active regions (ARs) to study various local and global properties of the network. The values of the Hurst exponent (0.8 − 0.9) were evaluated by both the detrended fluctuation analysis and the rescaled range analysis applied on the time series of the AR numbers. The findings suggest that ARs can be considered as a system of self-organized criticality.We constructed a growing network based on locations, occurrence times, and the lifetimes of 4,227ARs recorded from 1 January 1999 to 14 April 2017. The behaviour of the clustering coefficient shows that the ARs network is not a random network. The logarithmic behaviour of the length scale has the characteristics of a so-called "small-world network". It is found that the probability distribution of the node degrees for undirected networks follows the power-law with exponents of about 3.7 to 4.2.This indicates the scale-free nature of the ARs network. The scale-free and small-world properties of the ARs network confirm that the system of ARs forms a system of self-organized criticality. Our results show that the occurrence probability of flares (classified by GOES class C > 5, M, and X flares) in the position of the ARs network hubs take values greater than that obtained for other nodes.Corresponding author: Hossein Safari safari@znu.ac.ir Daei, Safari, and Dadashi

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“…By computing the topological and dynamic characteristics of these networks, earthquake networks have revealed properties, i.e., small-world [ 25 , 26 ], scale-free [ 27 , 28 ] and hierarchical organizations [ 29 ]. In addition, the evolution of network structures indicates there have been precursory seismicity patterns before the occurrence of several earthquakes [ 30 , 31 ]. Therefore, we have attempted to use complex networks to investigate strain observations as a complex system in China, using the multiple YRY-4 borehole strainmeters that have been installed in the Sichuan-Yunnan region since 2008.…”

Section: Introductionmentioning

confidence: 99%

Detecting Earthquake-Related Anomalies of a Borehole Strain Network Based on Multi-Channel Singular Spectrum Analysis

Hattori

Zhu

et al. 2020

Entropy

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To investigate the nonlinear spatio-temporal behavior of earthquakes, a complex network has been built using borehole strain data from the southwestern endpoint of the Longmenshan fault zone, Sichuan-Yunnan region of China, and the topological structural properties of the network have been investigated based on data from 2011–2014. Herein, six observation sites were defined as nodes and their edges as the connections between them. We introduced Multi-channel Singular Spectrum Analysis (MSSA) to analyze periodic oscillations, earthquake-related strain, and noise in multi-site observations, and then defined the edges of the network by calculating the correlations between sites. The results of the daily degree centrality of the borehole strain network indicated that the strain network anomalies were correlatable with local seismicity associate with the earthquake energy in the strain network. Further investigation showed that strain network anomalies were more likely to appear before major earthquakes rather than after them, particularly within 30 days before an event. Anomaly acceleration rates were also found to be related to earthquake energy. This study has revealed the self-organizing pre-earthquake phenomena and verified the construction of borehole networks is a powerful tool for providing information on earthquake precursors and the dynamics of complex fault systems.

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Main shocks and evolution of complex earthquake networks

Cited by 18 publications

References 13 publications

Investigate of Iran Recurrence Earthquakes by the Network

Investigate of Iran Recurrence Earthquakes by the Network

Complex Network for Solar Active Regions

Detecting Earthquake-Related Anomalies of a Borehole Strain Network Based on Multi-Channel Singular Spectrum Analysis

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