Topological Characteristic Analysis of Weighted Seismic Network Based on Space-Time Influence Domain

doi:10.12068/j.issn.1005-3026.2018.11.007

Abstract

Abstract: The seismic network of the south California is taken as the research object. In order to study the influence relationship among nodes in seismic network， the weighted seismic network is generated based on the space-time influence domain and the mean magnitude ratio. Then， based on the reference effect of null model， the topological characteristic of weighted seismic network is analyzed. At the same time， the weight distribution of the edge and the node are analyzed. It is found that the weighted seismic network has scale-free and small-world characteristics， and both the node and the edge weight have power-law distribution. In addition， there is a positive correlation between the weight of the node and its maximum magnitude. Based on the seismic data， the weighted seismic network can reflect the actual situation well.

Key words: seismic network, complex network, space-time influence domain, undirected/directed network, null model

CLC Number:

TP393

XU Yan-jie， REN Tao， QI Yi. Topological Characteristic Analysis of Weighted Seismic Network Based on Space-Time Influence Domain[J]. Journal of Northeastern University Natural Science, 2018, 39(11): 1551-1555.

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