Small-world structure of earthquake network
Statistical Mechanics
2009-11-10 v1 Disordered Systems and Neural Networks
Abstract
Discoveries of the scale-free and small-world features are reported on a network constructed from the seismic data. It is shown that the connectivity distribution decays as a power law, and the value of the degrees of separation, i.e., the characteristic path length or the diameter, between two earthquakes (as the vertices) chosen at random takes a small value between 2 and 3. The clustering coefficient is also calculated and is found to be about 10 times larger than that in the case of the completely random network. These features highlight a novel aspect of seismicity as a complex phenomenon.
Cite
@article{arxiv.cond-mat/0308208,
title = {Small-world structure of earthquake network},
author = {Sumiyoshi Abe and Norikazu Suzuki},
journal= {arXiv preprint arXiv:cond-mat/0308208},
year = {2009}
}
Comments
13 pages, 3 figures