Earthquake networks based on similar activity patterns

TL;DR

This paper introduces a network-based method to analyze earthquake activity patterns, revealing long-range correlations and stable network features over a 14-year period in Japan.

Contribution

It develops a novel network approach linking earthquake locations based on activity pattern similarity, uncovering long-range interactions and stable network properties.

Findings

Strong correlations between distant locations (>1000 km)

Network exhibits high node assortativity

Network features are stable over time

Abstract

Earthquakes are a complex spatiotemporal phenomenon, the underlying mechanism for which is still not fully understood despite decades of research and analysis. We propose and develop a network approach to earthquake events. In this network, a node represents a spatial location while a link between two nodes represents similar activity patterns in the two different locations. The strength of a link is proportional to the strength of the cross-correlation in activities of two nodes joined by the link. We apply our network approach to a Japanese earthquake catalog spanning the 14-year period 1985-1998. We find strong links representing large correlations between patterns in locations separated by more than 1000 km, corroborating prior observations that earthquake interactions have no characteristic length scale. We find network characteristics not attributable to chance alone, including a large number of network links, high node assortativity, and strong stability over time.