Pavez-Orrego Claudia, Pastén Denisse
SINTEF Industry, S.P. Andersens Vei 15B, 7031 Trondheim, Norway.
Departamento de Física, Facultad de Ciencias, Universidad de Chile, Las Palmeras 3425, Ñuñoa, Santiago 7800003, Chile.
Entropy (Basel). 2023 Aug 31;25(9):1284. doi: 10.3390/e25091284.
We present a new complex network-based study focused on intraplate earthquakes recorded in southern Norway during the period 1980-2020. One of the most recognized limitations of spatial complex network procedures and analyses concerns the definition of adequate cell size, which is the focus of this approach. In the present study, we analyze the influence of observational errors of hypocentral and epicentral locations of seismic events in the construction of a complex network, looking for the best cell size to build it and to develop a basis for interpreting the results in terms of the structure of the complex network in this seismic region. We focus the analysis on the degree distribution of the complex networks. We observed a strong result of the cell size for the slope of the degree distribution of the nodes, called the critical exponent γ. Based on the Abe-Suzuki method, the slope (γ) showed a negligible variation between the construction of 3- and 2-dimensional complex networks. The results were also very similar for a complex network built with subsets of seismic events. These results suggest a weak influence of observational errors measured for the coordinates latitude, longitude, and depth in the outcomes obtained with this particular methodology and for this high-quality dataset. These results imply stable behavior of the complex network, which shows a structure of hubs for small values of the cell size and a more homogeneous degree distribution when the cell size increases. In all the analyses, the γ parameter showed smaller values of the error bars for greater values of the cell size. To keep the structure of hubs and small error bars, a better range of the side sizes was determined to be between 8 to 16 km. From now on, these values can be used as the most stable cell sizes to perform any kind of study concerning complex network studies in southern Norway.
我们提出了一项基于复杂网络的新研究,重点关注1980 - 2020年期间挪威南部记录的板内地震。空间复杂网络程序和分析最公认的局限性之一涉及合适的单元格大小的定义,这是本方法的重点。在本研究中,我们分析了地震事件震源和震中位置的观测误差在复杂网络构建中的影响,寻找构建复杂网络的最佳单元格大小,并为根据该地震区域复杂网络的结构解释结果奠定基础。我们将分析重点放在复杂网络的度分布上。我们观察到单元格大小对节点度分布斜率(称为临界指数γ)有很强的影响。基于阿部 - 铃木方法,在构建三维和二维复杂网络时,斜率(γ)的变化可忽略不计。对于用地震事件子集构建的复杂网络,结果也非常相似。这些结果表明,对于该特定方法和这个高质量数据集所获得的结果,纬度、经度和深度坐标测量的观测误差影响较弱。这些结果意味着复杂网络具有稳定的行为,即单元格大小较小时显示出枢纽结构,单元格大小增加时度分布更均匀。在所有分析中,γ参数在单元格大小较大时误差条的值较小。为了保持枢纽结构和较小的误差条,确定边长的较好范围在8至16公里之间。从现在起,这些值可作为最稳定的单元格大小,用于开展任何有关挪威南部复杂网络研究的工作。