Dynamical evolution of clustering in complex network of earthquakes

Abstract

The network approach plays a distinguished role in contemporary science of complex systems/phenomena. Such an approach has been introduced into seismology in a recent work [S. Abe and N. Suzuki, Europhys. Lett. 65, 581 (2004)]. Here, we discuss the dynamical property of the earthquake network constructed in California and report the discovery that the values of the clustering coefficient remain stationary before main shocks, suddenly jump up at the main shocks, and then slowly decay following a power law to become stationary again. Thus, the network approach is found to characterize main shocks in a peculiar manner.

10 pages, 3 figures, 1 table

References in corpus (9)

• Large-scale topological and dynamical properties of Internet
• Scale-free statistics of time interval between successive earthquakes
• Law for the distance between successive earthquakes
• Small-world structure of earthquake network
• Complex networks of earthquakes and aftershocks
• Complex earthquake networks: Hierarchical organization and assortative mixing
• Scale-invariant statistics of period in directed earthquake network
• Aging and scaling of aftershocks
• The Network of Epicenters of the Olami-Feder-Christensen Model of Earthquakes

Cited by in corpus (7)

• Analyzing and Modeling Real-World Phenomena with Complex Networks: A Survey of Applications
• Earthquake networks based on similar activity patterns
• Finite data-size scaling of clustering in earthquake networks
• Dynamical evolution of the community structure of complex earthquake network
• Network similarity and statistical analysis of earthquake seismic data
• Aftershocks in Modern Perspectives: Complex Earthquake Network, Aging, and Non-Markovianity
• Topology of the Visibility Graph of Sandpiles