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| Titel |
Complex networks of earthquakes and aftershocks |
| VerfasserIn |
M. Baiesi, M. Paczuski |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1023-5809
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 12, no. 1 ; Nr. 12, no. 1 (2005-01-03), S.1-11 |
| Datensatznummer |
250010374
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| Publikation (Nr.) |
 copernicus.org/npg-12-1-2005.pdf |
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| Zusammenfassung |
| We invoke a metric to quantify the correlation between any two
earthquakes. This provides a simple and straightforward alternative
to using space-time windows to detect aftershock sequences and
obviates the need to distinguish main shocks from aftershocks.
Directed networks of earthquakes are constructed by placing a link,
directed from the past to the future, between pairs of events that are
strongly correlated. Each link has a weight giving the relative
strength of correlation such that the sum over the incoming links to
any node equals unity for aftershocks, or zero if the event had no
correlated predecessors. A correlation threshold is set to drastically
reduce the size of the data set without losing significant information.
Events can be aftershocks of many previous
events, and also generate many aftershocks. The probability
distribution for the number of incoming and outgoing links are both
scale free, and the networks are highly clustered. The
Omori law holds for aftershock rates up to a decorrelation time that
scales with the magnitude, m, of the initiating shock as
tcutoff~10β m with β~-3/4. Another scaling
law relates distances between earthquakes and their aftershocks to
the magnitude of the initiating shock. Our results are inconsistent
with the hypothesis of finite aftershock zones. We also find evidence that
seismicity is dominantly triggered by small earthquakes. Our
approach, using concepts from the modern theory of complex networks,
together with a metric to estimate correlations, opens up new avenues
of research, as well as new tools to understand seismicity. |
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