Towards Evidence of Long-Range Correlations in Shallow Seismic Activities

Abstract

In this work, we introduce a new methodology to construct a network of epicenters that avoids problems found in well-established methodologies when they are applied to global catalogs of earthquakes located in shallow zones. The new methodology involves essentially the introduction of a time window which works as a temporal filter. Our approach is more generic and for small regions the results coincide with previous findings. The network constructed with that model has small-world properties and the distribution of node connectivity follows a non-traditional function, namely a q-exponential, where scale-free properties are present. The vertices with larger connectivity in the network correspond to the areas with very intense seismic activities in the period considered. These new results strengthen the hypothesis of long spatial and temporal correlations between earthquakes.

arXiv comment8 pages, 5 figures

References in corpus (13)

• Emergence of scaling in random networks
• Fast unfolding of communities in large networks
• The structure of scientific collaboration networks
• The architecture of complex weighted networks
• Dynamical and correlation properties of the Internet
• Scale free networks of earthquakes and aftershocks
• Law for the distance between successive earthquakes
• Small-world structure of earthquake network
• Complex networks of earthquakes and aftershocks
• How far away is the next earthquake?
• Distribution of epicenters in the Olami-Feder-Christensen model
• The Network of Epicenters of the Olami-Feder-Christensen Model of Earthquakes
• Small World Picture of Worldwide Seismic Events

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