利用复杂网络技术分析地震活动性特征

On the Features of Seismicity with Complex Network Technology

将研究区内的地震活动性数据映射为一种复杂网络模型—地震网络,从复杂网络的角度描述地震活动时空复杂性特征。分析了所构建的地震网络,结果显示它满足小世界无标度网络特性,大震前后地震网络的规模会出现同震效应,且震后地震网络的节点数和边数会有明显增大的现象。另外,通过对地震网络k-核解析发现,在一些大地震发生之前,最高核数会有明显高值异常,震后最高核数会衰减恢复至与震前相当的稳定状态。这些结果表明地震事件之间存在复杂的相互作用行为,通过地震网络表现出的统计规律,为分析研究地震发生规律提供了一种新的途径。

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.