A complex network model for seismicity based on mutual information

Abigail Jiménez*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Seismicity is the product of the interaction between the different parts of the lithosphere. Here, we model each part of the Earth as a cell that is constantly communicating its state to its environment. As a neuron is stimulated and produces an output, the different parts of the lithosphere are constantly stimulated by both other cells and the ductile part of the lithosphere, and produce an output in the form of a stress transfer or an earthquake. This output depends on the properties of each part of the Earth's crust and the magnitude of the inputs. In this study, we propose an approach to the quantification of this communication, with the aid of the Information Theory, and model seismicity as a Complex Network. We have used data from California, and this new approach gives a better understanding of the processes involved in the formation of seismic patterns in that region.

Original languageEnglish
Pages (from-to)2498-2506
Number of pages9
JournalPhysica a-Statistical mechanics and its applications
Volume392
Issue number10
DOIs
Publication statusPublished - 15 May 2013
Externally publishedYes

Keywords

  • Complex networks
  • Mutual information
  • Seismicity

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