Abstract
The complex evolving network is constructed from the seismic data taken in southern California, and its topological properties are studied. It is shown that the network associated with earthquakes is scale free. The value of the degrees of separation, i.e., the characteristic path length, is found to be small, between 2 and 3. The clustering coefficient is also calculated and is seen to be about 10 times larger than that in the case of the completely random network. These discoveries should play an important role in modeling earthquake phenomenon. © Springer-Verlag 2004.
Cite
CITATION STYLE
Abe, S., & Suzuki, N. (2004). Complex network of earthquakes. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3038, 1046–1053. https://doi.org/10.1007/978-3-540-24688-6_135
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