https://doi.org/10.1140/epjp/s13360-021-01783-4
Regular Article
Comparison of different seismic networks efficiencies in earthquake forecasting models
1
Department of Physics, Shahreza Branch, Islamic Azad University, Shahreza, Iran
2
International Institute of Earthquake Engineering and Seismology, IIEES, Tehran, Iran
3
Department of Physics, University of Zanjan, Zanjan, Iran
b ahmadian@iaush.ac.ir, farzad.ahmadian@gmail.com
Received:
16
June
2020
Accepted:
14
July
2021
Published online:
5
October
2021
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.
© The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2021
