Complex-network description of seismicity
Complex-network description of seismicity
复制标题
DOI：
10.5194/npg-13-145-2006
复制
发表时间：
2006-01-01
影响因子：
2.2
通讯作者：
Suzuki, N.
中科院分区：
文献类型：
--
作者：
Abe, S.;Suzuki, N.
在加利福尼亚和日本采集的地震数据被映射到不断增长的随机网络。从无向网络图中可以看出，这些地震网络是无标度的小工作网络，具有幂律连通性分布，聚类系数较大，平均路径长度较小。演示了当前的网络方法如何以新颖的方式揭示地震活动的复杂性。
The seismic data taken in California and Japan are mapped to growing random networks. It is shown in the undirected network picture that these earthquake networks are scale-free and small-work networks with the power-law connectivity distributions, the large values of the clustering coefficient, and the small values of the average path length. It is demonstrated how the present network approach reveals complexity of seismicity in a novel manner.