Network of recurrent events for the Olami-Feder-Christensen model

Abstract

We numerically study the dynamics of a discrete spring-block model introduced by Olami, Feder and Christensen (OFC) to mimic earthquakes and investigate to which extent this simple model is able to reproduce the observed spatiotemporal clustering of seismicty. Following a recently proposed method to characterize such clustering by networks of recurrent events [Geophys. Res. Lett. {\bf 33}, L1304, 2006], we find that for synthetic catalogs generated by the OFC model these networks have many non-trivial statistical properties. This includes characteristic degree distributions -- very similar to what has been observed for real seismicity. There are, however, also significant differences between the OFC model and earthquake catalogs indicating that this simple model is insufficient to account for certain aspects of the spatiotemporal clustering of seismicity.

arXiv comment11 pages, 16 figures

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Cited by in corpus (3)

• Recurrence networks - A novel paradigm for nonlinear time series analysis
• Self organized criticality in an improved Olami-Feder-Christensen model
• Spatiotemporal correlations of aftershock sequences