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Analyzing the structure of earthquake network by k-core decomposition

Xuan He, Hai Zhao, Wei Cai, Guang-Guang Li and Fan-Dong Pei

Physica A: Statistical Mechanics and its Applications, 2015, vol. 421, issue C, 34-43

Abstract: Earthquake network is a novel methodology to analyze the relationships among the earthquake events. k-core decomposition is one of the common measures to identify the most important nodes in complex networks. In this paper, we first verify the hierarchical structure of the earthquake network, which is constructed by the method based on space–time influence domain, and use the k-core decomposition to visualize the topology in order to figure out the structure and the central part of earthquake networks. On observation of the evolution of the maximum coreness, it is found that it has some sudden changes with the occurrence of major shocks. The highest core, which has high clustering characteristic, is tend to be located in the area that can directly or indirectly cause the major shocks. By comparing the energy distribution in each shell, we find that the energy proportion of the highest core is high, especially before the major shocks.

Keywords: Earthquake networks; Complex networks; Hierarchical structure; k-core decomposition; Evolution; Energy (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:421:y:2015:i:c:p:34-43

DOI: 10.1016/j.physa.2014.11.022

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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