Abstract：The seismic data taken in the geographical region under consideration are mapped to a complex network-Earthquake Network. From the perspective of complex network, we describe the spatial-temporal complexity of seismicity. In this article, we construct earthquake network and investigate it. Firstly, the results show that these earthquake networks are scale-free and small-work networks with the power-law connectivity distributions. Secondly, the scale represents co-seismic effect. Moreover, nodes and edges increase greatly after the main shock. Finally, the method of k-core decomposition is applied to the earthquake network, and an important phenomenon is found that the value of the highest layer shows obvious high-value abnormalities before some earthquakes and it will return to a stable state after the earthquake. These results reveal complex intrinsic interactions between seismic events. The earthquake network, which presented certain statistical laws, will provide a new way for us to analyze and research the seismological system.
张正帅, 陈时军, 周晨, 赵瑞. 利用复杂网络技术分析地震活动性特征[J]. 复杂系统与复杂性科学, 2018, 15(2): 10-17.
ZHANG Zhengshuai, CHEN Shijun, ZHOU Chen, ZHAO Rui. On the Features of Seismicity with Complex Network Technology. Complex Systems and Complexity Science, 2018, 15(2): 10-17.
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