Statistical properties of complex network for seismicity using depth-incorporated influence radius

Acta Geophysica - Tập 67 - Trang 1515-1523 - 2019
Xuan He1,2, Luyang Wang3, Hongbo Zhu3, Zheng Liu3
1School of SINO-DUTCH Biomedical and Information Engineering, Northeastern University, Shenyang, China
2Neusoft Research of Intelligent Healthcare Technology, Co. Ltd, Shenyang, China
3School of Computer Science and Engineering, Northeastern University, Shenyang, China

Tóm tắt

In recent years, seismic time series has been used to construct complex network models in order to describe the seismic complexity. The effect of the factor focal depth has been elided in some of these models. In this paper, we aim to construct a new complex network model for seismicity by considering depth factor from the earthquake catalog and investigate the statistical properties of the network. Since the networks have been proved to be scale-free and small-world properties, the new network models should be studied whether the properties have changed. The results show that the new network model by considering depth factor is still scale-free and small-world. However, it is found that its average degree is smaller than the original network. The clustering coefficient increases at the year including mainshocks. The assortativity coefficient, which demonstrates preferential attachment of nodes, is positive and shows consistent pattern when main shocks occur.

Tài liệu tham khảo

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