EconPapers    
Economics at your fingertips  
 

The earthquakes network: Retrieving the empirical seismological laws

Soghra Rezaei, Amir Hossein Darooneh, Nastaran Lotfi and Nazila Asaadi

Physica A: Statistical Mechanics and its Applications, 2017, vol. 471, issue C, 80-87

Abstract: Here we try to show that the main statistical features of earthquake phenomena in any region can be retrieved from the associated earthquakes network. In the first attempt we draw out the Gutenberg–Richter law from the Abe–Suzuki model for the earthquakes network and the Omori law from the Telesca–Lovallo network model. Then we introduce a hybrid model for constructing the earthquakes network and extract both laws simultaneously from the same network model. Moreover, we obtain some other laws in terms of the network characteristics which have no counterparts among the standard seismological laws.

Keywords: Earthquakes network; Statistical property; Seismological laws; q-exponential (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437116309748
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:471:y:2017:i:c:p:80-87

DOI: 10.1016/j.physa.2016.12.003

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:phsmap:v:471:y:2017:i:c:p:80-87