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Characteristics of Seismic Networks in Spatial Scales

  • D. D. Kang
  • D. I. Lee
  • K. KimEmail author
Conference paper
Part of the Springer Proceedings in Complexity book series (SPCOM)

Abstract

We investigate the seismic network by considering the cell resolution and the temporal causality of the earthquake from seismic data taken in southern California of USA. The topological properties of our seismic network are simulated and analyzed. We mainly estimate the global network metrics such as the mean degree, the probability distribution of degree, the clustering coefficient, the characteristic path length, and the global efficiencies. Particularly, Our results in random networks are compared to other findings which estimate the global network metrics.

Keywords

Seismic network Random network Clustering coefficient Local efficiency Global efficiency 

Notes

Acknowledgements

This work was supported by Center for Atmospheric Sciences and Earthquake Research (CATER 2012-6110) and by the National Research Foundation of Korea through a grant provided by the Korean Ministry of Education, Science & Technology in 2011 (No. K1663000201107900).

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  1. 1.Department of Environmental Atmospheric SciencesPukyong National UniversityBusanRepublic of Korea
  2. 2.Department of PhysicsPukyong National UniversityBusanRepublic of Korea

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