Earthquake Networks, Complex
Sumiyoshi Abe (1,2), Norikazu Suzuki (3) ((1) Mie University,, Japan, (2) Institut Superieur des Materiaux et Mecaniques Avances, Le Mans,, France, (3) Nihon University, Funabashi, Japan)

TL;DR
This paper discusses the application of network theory to earthquake phenomena, highlighting how complex network analysis can enhance understanding of seismic activity and earthquake prediction.
Contribution
It introduces a comprehensive overview of earthquake networks within the framework of complexity science, emphasizing novel insights into seismic patterns and system behavior.
Findings
Earthquake networks reveal non-trivial connectivity patterns.
Complex network analysis improves understanding of seismic correlations.
Potential for better earthquake prediction models.
Abstract
An article for the Springer Encyclopedia of Complexity and System Science
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Taxonomy
TopicsComplex Network Analysis Techniques · Complex Systems and Time Series Analysis · Earthquake Detection and Analysis
