2018
DOI: 10.1016/j.physa.2017.12.063
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Preferential attachment in evolutionary earthquake networks

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Cited by 10 publications
(2 citation statements)
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“…This work shows that there are other parameters that can be used to discover not so obvious patterns of seismicity, since in one of the areas studied, the increase in multifractality after large earthquakes was very different than in another area because one of the earthquakes had many more aftershocks than the other. Reviewing complex Cells are linked if a visibility condition between nodes is met, based on the magnitudes and the time between events (Rezaei et al 2018).…”
Section: Earthquake Networkmentioning
confidence: 99%
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“…This work shows that there are other parameters that can be used to discover not so obvious patterns of seismicity, since in one of the areas studied, the increase in multifractality after large earthquakes was very different than in another area because one of the earthquakes had many more aftershocks than the other. Reviewing complex Cells are linked if a visibility condition between nodes is met, based on the magnitudes and the time between events (Rezaei et al 2018).…”
Section: Earthquake Networkmentioning
confidence: 99%
“…These two laws involve some behaviors that follow power laws, which are common in complex systems. As a result, different investigations of the seismic phenomenon have been carried out expressing it as a complex system, such as the formulation of models of the earthquake nucleation (Olami et al 1992;Bak and Tang 1989) (which is, how an earthquake is generated) or seismicity in general as complex networks (Abe and Suzuki 2004b;Baiesi and Paczuski 2004;He et al 2014;Rezaei et al 2018;Telesca and Lovallo 2012). In particular, with the presentation of a sequence of seismic events as a complex network, an attempt has been made to understand the structure of these earthquake networks, and in these formulations, it has been specified that seismicity can be seen as a small-world network (Abe and Suzuki 2004b;Chorozoglou et al 2018;León et al 2018) and as a Scale-Free network (Abe and Suzuki 2004a;Baiesi and Paczuski 2004).…”
Section: Introductionmentioning
confidence: 99%