Earthquake magnitude time series: scaling behavior of visibility networks
Earthquake magnitude time series: scaling behavior of visibility networks
复制标题
DOI：
10.1140/epjb/e2013-40762-2
复制
发表时间：
2013-11-04
影响因子：
1.6
通讯作者：
Guzman-Vargas, L.
中科院分区：
文献类型：
--
作者：
Aguilar-San Juan, B.;Guzman-Vargas, L.
用能见度图法对地震震级序列进行了统计分析。将意大利、南加州和墨西哥的震级时间序列转化为网络，并讨论了一些组织图的性质。连通性的特征是无标度分布，由于存在或不存在大事件，对大尺度的影响明显。此外，还观察到了不同节点度量之间的比例行为，如介数中心度、聚类系数、最近邻连通性和地震震级。此外，还提出了量化前向链路和后向链路差异的参数来评价可见性附着机制的不对称性。我们的结果表明，这些参数随着震级的变化呈现出交替的平均行为。最后，我们评估了减少观测的时间和空间窗口对主震能见度网络特性的影响。
We present a statistical analysis of earthquake magnitude sequences in terms of the visibility graph method. Magnitude time series from Italy, Southern California, and Mexico are transformed into networks and some organizational graph properties are discussed. Connectivities are characterized by a scale-free distribution with a noticeable effect for large scales due to either the presence or the lack of large events. Also, a scaling behavior is observed between different node measures like betweenness centrality, clustering coefficient, nearest neighbor connectivity, and earthquake magnitude. Moreover, parameters which quantify the difference between forward and backward links, are proposed to evaluate the asymmetry of visibility attachment mechanism. Our results show an alternating average behavior of these parameters as earthquake magnitude changes. Finally, we evaluate the effects of reducing temporal and spatial windows of observation upon visibility network properties for main-shocks.