Network similarity and statistical analysis of earthquake seismic data

Krishanu Deyasi, Abhijit Chakraborty and Anirban Banerjee

Physica A: Statistical Mechanics and its Applications, 2017, vol. 481, issue C, 224-234

Abstract: We study the structural similarity of earthquake networks constructed from seismic catalogs of different geographical regions. A hierarchical clustering of underlying undirected earthquake networks is shown using Jensen–Shannon divergence in graph spectra. The directed nature of links indicates that each earthquake network is strongly connected, which motivates us to study the directed version statistically. Our statistical analysis of each earthquake region identifies the hub regions. We calculate the conditional probability of the forthcoming occurrences of earthquakes in each region. The conditional probability of each event has been compared with their stationary distribution.

Keywords: Earthquake network; Seismic catalogs; Hierarchical clustering; Jensen–Shannon divergence; Graph spectra; Conditional probability (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:481:y:2017:i:c:p:224-234

DOI: 10.1016/j.physa.2017.04.050

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