| Full text | |
| Author(s): |
Lotfi, Nastaran
Total Authors: 1
|
| Document type: | Journal article |
| Source: | ACTA GEOPHYSICA; v. N/A, p. 7-pg., 2023-01-31. |
| Abstract | |
From the early stage of seismological research, a complex network is one of the statistical methods to investigate the complexity of earthquake systems. The benefit of using this method is to inspect the systems with minimum information about their entities and corresponding interactions. Achieving a high interest in studying the seismic events using the complex network resulted in defining models to map the seismic data into networks. Application of these models to the seismic data sets in nonidentical geographical regions has yielded promising results independent of time and location. In this review, we bring in the recent famous models varying from monolayer to multiplex and compare their proficiency in capturing the complexity of the seismicity by using two data sets from Iran and California. (AU) | |
| FAPESP's process: | 20/08359-1 - Social behaviour and epidemic spreading in social networks |
| Grantee: | Nastaran Lotfi |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |