2019
DOI: 10.1016/j.physa.2019.121293
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Minima of the fluctuations of the order parameter of seismicity and earthquake networks based on similar activity patterns

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Cited by 21 publications
(39 citation statements)
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“…In this section, we present the results of ECA for the interrelation between the strong (target) EQs and the order parameter fluctuation minima β min that have been found in the regional studies of Japan [59], Eastern Mediterranean [62], and in the global seismicity [60,61], see Figure 1. For these reasons, the time-series of target EQs will serve as event time-series A and the time-series of β min as event time-series B, whereas the unit of time for ∆T and τ is one day.…”
Section: Resultsmentioning
confidence: 99%
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“…In this section, we present the results of ECA for the interrelation between the strong (target) EQs and the order parameter fluctuation minima β min that have been found in the regional studies of Japan [59], Eastern Mediterranean [62], and in the global seismicity [60,61], see Figure 1. For these reasons, the time-series of target EQs will serve as event time-series A and the time-series of β min as event time-series B, whereas the unit of time for ∆T and τ is one day.…”
Section: Resultsmentioning
confidence: 99%
“…that corresponds to this natural time window of length W and quantifies the intensity of the fluctuations of the order parameter of seismicity. Note that β W of Equation (4) could be identified [62] as effectively the square root of the Ginzburg criterion, e.g., see Equation (6.25) on p. 175 of Goldenfeld [66], the importance of which in EQ processes has been discussed by Holliday et al [53]. The time evolution of β W is followed by sliding the window of W consecutive EQs, event by event, through the EQ catalog and assigning to its value the occurrence time of the EQ which follows the last EQ of the window studied in the EQ catalog.…”
Section: Natural Time Analysismentioning
confidence: 99%
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