There is striking evidence that the dynamics of the Earth crust is controlled by a wide variety
of mutually dependent mechanisms acting at different spatial and temporal scales. The …

Networks are ubiquitous in natural, technological and social systems. They are of increasing
relevance for improved understanding and control of infectious diseases of plants, animals …

We introduce a statistical methodology for clustering analysis of seismicity in the time-space-
energy domain and use it to establish the existence of two statistically distinct populations of …

Recently, Machine learning (ML) has been widely utilized for laboratory earthquake
(labquake) prediction using various types of data. This study pioneers in time to failure (TTF) …

Earthquake forecasting poses significant challenges, especially due to the elusive nature of
stress states in fault systems. To tackle this problem, we use features derived from seismic …

Aftershock occurrence is characterized by scaling behaviors with quite universal exponents.
At the same time, deviations from universality have been proposed as a tool to discriminate …

The onset of the aftershock decay after main shocks is controversial. Physical models predict
that the onset time is stress dependent, and catalog analysis shows a clear increase of the c …

The elaboration of reliable forecasting in the first hours after large shocks, very useful for the
postseismic management, is strongly affected by the huge incompleteness of seismic …

The variance κ 1 of the natural time analysis of earthquake catalogs was proposed in 2005
as an order parameter for seismicity, whose fluctuations proved, in 2011, to be minimized a …

Spatial distances between subsequent earthquakes in southern California exhibit scale-free
statistics, with a critical exponent δ≈ 0.6, as well as finite size scaling. The statistics are …