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Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union

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© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
04 Feb 2014
Review status
This discussion paper is a preprint. A revision of the manuscript for further review has not been submitted.
C ≈ 0.85 scaling and the universal clustering structure of earthquake networks
S. Abe1 and N. Suzuki2 1Department of Physical Engineering, Mie University, Mie 514-8507, Japan
2College of Science and Technology, Nihon University, Chiba 274-8501, Japan
Abstract. Earthquake network describes the complexity of seismicity both qualitatively and quantitatively. The procedure of constructing an earthquake network contains as a single parameter the size of the cells, into which a geographical region under consideration is divided. Then, the characteristics of the network depend on the cell size, in general. Here, the dependency of the clustering coefficient, C, of network on the cell size is studied. Remarkably, C of the earthquake networks constructed from the seismic data taken from California, Japan, and Iran well coincide for each value of the scaled dimensionless cell size. It is found that the networks in California and Japan are three-dimensional, whereas the one in Iran is rather two-dimensional. In addition, the values of C of all these three networks monotonically converge to C ≈ 0.85 as the scaled dimensionless cell size increases, highlighting a universal aspect of the concept of earthquake network.

Citation: Abe, S. and Suzuki, N.: C ≈ 0.85 scaling and the universal clustering structure of earthquake networks, Nonlin. Processes Geophys. Discuss.,, in review, 2014.
S. Abe and N. Suzuki
Interactive discussionStatus: closed (peer review stopped)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
RC C1: 'review of the manuscript "C=0.85 scaling and the universal clustering structure of earthquake networks"', Anonymous Referee #1, 18 Feb 2014 Printer-friendly Version 
RC C35: 'Review', Anonymous Referee #2, 20 Mar 2014 Printer-friendly Version 
S. Abe and N. Suzuki
S. Abe and N. Suzuki


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