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Volume 23, issue 4
Nonlin. Processes Geophys., 23, 241–256, 2016
https://doi.org/10.5194/npg-23-241-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Nonlin. Processes Geophys., 23, 241–256, 2016
https://doi.org/10.5194/npg-23-241-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 09 Aug 2016

Research article | 09 Aug 2016

Foreshocks and short-term hazard assessment of large earthquakes using complex networks: the case of the 2009 L'Aquila earthquake

Eleni Daskalaki et al.

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Cited articles

Abe, S. and Suzuki, N.: Scale-free network of earthquakes, Europhys. Lett., 65, 581–586, 2004.
Abe, S. and Suzuki, N.: Dynamical evolution of clustering in complex network of earthquakes, Eur. Phys. J. B., 59, 93–97, 2007.
Agnew, D. C. and Jones, L.: Prediction probabilities from foreshocks, J. Geophys. Res., 96, 11959–11971, 1991.
Albert, R. and Barabasi, A. L.: Statistical mechanics of complex networks, Rev. Mod. Phys., 74, 47–97, 2002.
Amoruso, A. and Crescentini, L.: Limits on earthquake nucleation and other pre-seismic phenomena from continuous strain in the near field of the 2009 L'Aquila earthquake, Geophys. Res. Lett., 37, L10307, https://doi.org/10.1029/2010GL043308, 2010.
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Short summary
The monitoring of statistical network properties could be useful for short-term hazard assessment of the occurrence of mainshocks in the presence of foreshocks. Using successive connections between events acquired from the earthquake catalog of INGV for the case of the L’Aquila (Italy) mainshock (Mw = 6.3) of 6 April 2009, we provide evidence that network measures, both global (average clustering coefficient, small-world index) and local (betweenness centrality) ones, could potentially be used.
The monitoring of statistical network properties could be useful for short-term hazard...
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