Small-world structure of earthquake network
classification
❄️ cond-mat.stat-mech
cond-mat.dis-nn
keywords
networkfeaturesrandomsmall-worldvalueaspectcalculatedcase
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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.
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