Earthquake networks based on space–time influence domain

He, Xuan; Zhang, Hai; Cai, Weiquan; Liu, Zheng; Si, Shuaizong

doi:10.1016/j.physa.2014.03.093

Cited by 17 publications

(18 citation statements)

References 30 publications

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“…e TS method has some fluctuations when the degree value is less than 10, showing a scale-free characteristic with truncation. is result is consistent with the former studies [9,11].…”

Section: Scale-freesupporting

confidence: 94%

“…He et al [11] generally divide the cause-and-effect relationships between earthquakes into two categories: a direct effect correlation and an indirect effect correlation. For the method of time series, it is an indirect effect correlation.…”

Section: Spatial-temporal Influence Domain Methodmentioning

confidence: 99%

“…e most significant advantage is that we no longer study seismic activity from some small local areas or study one big shock but consider the relationships between seismic events from a broader geographical scope. Most of the proposed methods [9][10][11][12][13] can construct a complex earthquake network only from the main elements of magnitude, time, and location and have achieved precious results.…”

Section: Introductionmentioning

confidence: 99%

“…Douglas [13] proposed a time window-based (TW) method to construct a global earthquake network. Xuan [11] proposed a space-time influence domain (STID) method to construct an earthquake network considering the time, location, and magnitude of the earthquakes. Other researchers proposed other construction methods, such as similar activity patterns [12], mutual information [10], and hybrid model [18], etc.…”

Section: Introductionmentioning

confidence: 99%

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Comparison and Analysis of Network Construction Methods for Seismicity Based on Complex Networks

Shah

Wei

et al. 2021

Complexity

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The approach of the complex network has well described seismic complex systems. In this paper, this is the first time three classical network construction methods for seismicity are compared. By using the same dataset from the Southern California Seismic Network, three networks are constructed. They all present the scale-free, small-world properties, a strength-degree correlation, and an assortative mixing feature. However, they show some differences in the hierarchical clustering feature. On observing the evolution results, three measures show a similar correlation with seismicity dynamics, but one measure shows a different result. These results show that different network construction methods will present some similarities and differences in network properties. This situation needs to be considered, especially when discussing a predictive indicator of seismicity.

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“…e TS method has some fluctuations when the degree value is less than 10, showing a scale-free characteristic with truncation. is result is consistent with the former studies [9,11].…”

Section: Scale-freesupporting

confidence: 94%

Section: Spatial-temporal Influence Domain Methodmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Comparison and Analysis of Network Construction Methods for Seismicity Based on Complex Networks

Shah

Wei

et al. 2021

Complexity

Self Cite

View full text Add to dashboard Cite

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“…Although the classical representation Karhunen-Loeve decomposition generally requires a large number of random variables, the quadratic orthogonal expansion method uses approximately only 10 random variables to definite the random process of ground motion [8][9][10]. In addition, He et al proposed a space-time influence domain to quantify the subsequence of earthquakes that were directly influenced by previous earthquakes [11]. To solve the uncertainty in safety evaluation, Zadeh proposed fuzzy set theory [12].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Damage Analysis of the Seismic Response of a Long-Distance Pipeline under a Coupling Multi-Influence Domain

2018

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For a long-distance pipeline, the seismic load is a four-dimensional space-time excitation that simultaneously changes with time and space. In this work, a novel random space-time seismic model is established for a long-distance pipeline, which uses the Clough-Penzien model based on a random process and model of a random field. The response analysis of a long-distance pipeline for multipoint excitation and a buried pressure pipeline are established, while the stress analysis of the buried pressure pipeline is carried out in combination with von Mises theory. In addition, we consider the impact of the site type. The application of the proposed methodology is proved through numerical simulation. A fuzzy damage model and fuzzy safety criteria are established to assess the degree of the structure. The results indicate that a reasonable assessment and design method should consider the coupling multi-influence domain. In particular, evaluation of the structural damage should be done to establish fuzzy damage models and fuzzy safety criteria. The effective measurement of the uncertainty of such parameters forms an important basis for subsequent structural reliability analysis and design.

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A revision of seismicity models based on complex systems and earthquake networks

2021

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Statistical laws such as the Omori and Gutenberg-Richter laws have become one of the most important tools for seismic hazard. The introduction of earthquake networks by Abe and Suzuki has opened a new research field in seismology, which gives an option to view the seismicity as a complex phenomena in an approachable way and may help to improve seismic hazard assesment. This paper intends to make a revision of the earthquake network models proposed in the literature, and to look for open questions by the date which may be of interest for future research.

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Earthquake networks based on space–time influence domain

Cited by 17 publications

References 30 publications

Comparison and Analysis of Network Construction Methods for Seismicity Based on Complex Networks

Comparison and Analysis of Network Construction Methods for Seismicity Based on Complex Networks

Fuzzy Damage Analysis of the Seismic Response of a Long-Distance Pipeline under a Coupling Multi-Influence Domain

A revision of seismicity models based on complex systems and earthquake networks

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