Scale-free network of earthquakes
By S. Abe, Norikazu Suzuki Institute of Physics, U. Tsukuba, Ibaraki, Japan., College of Materials Science, Technology, N. University, Funabashi, Chiba. 2002
185 citations recorded by the source corpus.
The district of Southern California and Japan are divided into small cubic cells, each of which is regarded as a vertex of a graph if earthquakes occur therein. Two successive earthquakes define an edge or a loop, which may replace the complex fault-fault interaction. In this way, the seismic data are mapped to a random graph. It is discovered that an evolving random graph associated with earthquakes behaves as a scale-free network of the Barabasi-Albert type. The distributions of connectivities in the graphs thus constructed are found to decay as a power law, showing a novel feature of earthquake as a complex critical phenomenon. This result can be interpreted in view of the facts that the frequency of earthquakes with large values of moment also decays as a power law (the Gutenberg-Richter law) and aftershocks associated with a mainshock tend to return to the locus of the mainshock, contributing to the large degree of connectivity of the vertex of the mainshock. Thus, a mainshock plays the role of a "hub". It is also found that the exponent of the distribution of connectivities is characteristic for the plate under investigation.
Subfields: Economics and Econometrics, Geophysics, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/d108ee7f003ccf495373e3735c56d5b64e07289a
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In Statistical and Nonlinear Physics
- Osvaldo Novaes de Oliveira Jr.
- Luciano da Fontoura Costa
- Luis Enrique Correa Rocha
- P. R. Villas Boas
- Francisco Aparecido Rodrigues
- Matheus Palhares Viana
- Gonzalo Travieso
- Lucas Antiqueira
Citations in the corpus
- Analyzing and modeling real-world phenomena with complex networks: a survey of applications (2007, methodology): “Abe and Suzuki [494, 495] proposed a method in which the Earth surface was divided into cells that were the nodes of the network.”