Comparison of different seismic networks efficiencies in earthquake forecasting models

We have used new Baiesi-Paczuski network construction model, which is a combination of Abe-Suzuki and Baiesi-Paczuski methods, for Iran seismic data in order to investigate the most suitable correlation metric value for connecting the nodes in the network. This new Baiesi-Paczuski model with the bes...

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Bibliographic Details
Published in:European physical journal plus 2021-10, Vol.136 (10), p.999, Article 999
Main Authors: Dehkordi, Samira Hosseinzadeh, Ahmadian, Farzad, Zare, Mehdi, Rezaei, Soghra
Format: Article
Language:English
Subjects:
Aftershocks
Applied and Technical Physics
Atomic
Complex Systems
Condensed Matter Physics
Construction
Earthquake prediction
Earthquakes
Forecasting
Informatics
Mathematical and Computational Physics
Mathematical models
Molecular
Optical and Plasma Physics
Physics
Physics and Astronomy
Regular Article
Seismic activity
Theoretical
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Summary:We have used new Baiesi-Paczuski network construction model, which is a combination of Abe-Suzuki and Baiesi-Paczuski methods, for Iran seismic data in order to investigate the most suitable correlation metric value for connecting the nodes in the network. This new Baiesi-Paczuski model with the best correlation threshold value has been utilized as a context for different seismic forecasting models of Pattern Informatic (PI), Relative Intensity (RI), and PageRank-Pattern Informatic (PR-PI) in order to compare the quality of their prediction results by Relative Operating Characteristic (ROC) evaluation diagram which proved the PR-PI model as the most reliable forecasts among the others. Furthermore, two other network models (Abe-Suzuki and Hybrid) are compared with new Baiesi-Paczuski using ROC diagram for PR-PI forecasting method which revealed that new Baiesi-Paczuski results get higher scores than those of other models.
ISSN:2190-5444
2190-5444
DOI:10.1140/epjp/s13360-021-01783-4