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Earthquake networks based on similar activity patterns.

Joel N Tenenbaum¹, Shlomo Havlin, H Eugene Stanley

¹Center for Polymer Studies and Department of Physics, Boston University, Boston, Massachusetts 02215, USA.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|December 11, 2012

Summary

This summary is machine-generated.

This study introduces a network approach to analyze earthquake patterns, revealing significant correlations between distant locations. The findings suggest earthquake interactions lack a characteristic length scale and exhibit complex network properties.

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Area of Science:

Geophysics
Network Science
Complex Systems

Background:

Earthquakes are complex spatiotemporal phenomena with poorly understood mechanisms.
Decades of research have yet to fully elucidate earthquake underlying processes.

Purpose of the Study:

To develop and apply a novel network approach for analyzing earthquake event patterns.
To investigate spatial correlations and interactions in earthquake activity.

Main Methods:

A network approach was developed where nodes represent spatial locations and links represent similar activity patterns.
Link strength was determined by the cross-correlation of activities between linked locations.
The method was applied to a 14-year Japanese earthquake catalog (1985-1998).

Main Results:

Strong correlations were found between earthquake activity patterns in locations over 1000 km apart.
Earthquake interactions demonstrated no characteristic length scale.
The analysis revealed statistically significant network characteristics, including numerous links, high node assortativity, and temporal stability.

Conclusions:

The network approach provides a new framework for understanding earthquake interactions.
Earthquake interactions are long-range and complex, defying simple spatial scale limitations.
The observed network properties are robust and not random, indicating underlying organizational principles in earthquake activity.