The earthquakes network: Retrieving the empirical seismological laws

Rezaei, Soghra; Darooneh, Amir H.; Lotfi, Nastaran; Asaadi, Nazila

doi:10.1016/j.physa.2016.12.003

Cited by 21 publications

(11 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nowadays, the complex networks theory appears as a useful method for studying many phenomena in various disciplines of science and technology [35][36][37][38]. There are many systems in nature which can be modeled by complex networks such as neural networks [39], cells [40], internet [41,42], earthquakes [43][44][45][46][47][48] and climate network [49][50][51]. Every network is characterized by knowing the nodes and how they are connected to one other.…”

Section: Complex Networkmentioning

confidence: 99%

The network structure affects the fixation probability when it couples to the birth-death dynamics in finite population

2021

Self Cite

View full text Add to dashboard Cite

The study of evolutionary dynamics on graphs is an interesting topic for researchers in various fields of science and mathematics. In systems with finite population, different model dynamics are distinguished by their effects on two important quantities: fixation probability and fixation time. The isothermal theorem declares that the fixation probability is the same for a wide range of graphs and it only depends on the population size. This has also been proved for more complex graphs that are called complex networks. In this work, we propose a model that couples the population dynamics to the network structure and show that in this case, the isothermal theorem is being violated. In our model the death rate of a mutant depends on its number of neighbors, and neutral drift holds only in the average. We investigate the fixation probability behavior in terms of the complexity parameter, such as the scale-free exponent for the scale-free network and the rewiring probability for the small-world network.

show abstract

Section: Complex Networkmentioning

confidence: 99%

The network structure affects the fixation probability when it couples to the birth-death dynamics in finite population

2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…It is shown that the Gutenberg-Richter data can be estimated using the Abe-Suzuki model and the Omori law using the Telesca-Lovallo model (Rezaei et al 2017) Connectivity distribution…”

Section: Quantity Of Linksmentioning

confidence: 99%

A revision of seismicity models based on complex systems and earthquake networks

2021

View full text Add to dashboard Cite

Statistical laws such as the Omori and Gutenberg-Richter laws have become one of the most important tools for seismic hazard. The introduction of earthquake networks by Abe and Suzuki has opened a new research field in seismology, which gives an option to view the seismicity as a complex phenomena in an approachable way and may help to improve seismic hazard assesment. This paper intends to make a revision of the earthquake network models proposed in the literature, and to look for open questions by the date which may be of interest for future research.

show abstract

“…Researchers describe and explain the complex interactions among components in the systems from a novel perspective [8]. Particularly, complex network theory has been applied to the seismic activity in the past two decades [9][10][11][12][13][14][15][16][17][18][19][20][21][22]. The network properties of seismicity has been calculated and analyzed by using network theory.…”

Section: Introductionmentioning

confidence: 99%

“…Other researchers also did plenty of valuable work. Some of them focused on how to construct an earthquake network by using similar activity patterns [12], mutual information [13], space-time influence domain [14], hybrid model [15], etc. In particular, the models using similar activity patterns have been useful for earthquake prediction [23][24][25] when applying natural time analysis [26,27].…”

Section: Introductionmentioning

confidence: 99%

Similar Seismic Activities Analysis by Using Complex Networks Approach

Wang

Liu

et al. 2020

Symmetry

View full text Add to dashboard Cite

Seismic activities show a space-time symmetry in some research. They have been recently studied using complex network theory. Earthquake network similarity is studied by us from seismic catalogs in the same region for a given period of time. In this paper, we first calculate the distance between feature vectors which represent the topological properties of different networks. A hierarchical clustering of earthquake networks in the same region is shown by using this method. It is found that similar networks are not the networks of adjacent years but those with decades time difference. To study the period of similar earthquake networks in the same region, we use wavelet analysis to obtain the possible periods at different time scales of the regions of the world, California and Japan. It is found that some of the possible periods are consistent with the results which have been already found by seismologists. The study of similar seismic activities from the perspective of the complex network will help seismologists to study the law of earthquake occurrence in a new way, which may provide possible research thinking for earthquake prediction.

show abstract

The earthquakes network: Retrieving the empirical seismological laws

Cited by 21 publications

References 17 publications

The network structure affects the fixation probability when it couples to the birth-death dynamics in finite population

The network structure affects the fixation probability when it couples to the birth-death dynamics in finite population

A revision of seismicity models based on complex systems and earthquake networks

Similar Seismic Activities Analysis by Using Complex Networks Approach

Contact Info

Product

Resources

About