Revealing correlations between b-value and complex networks critical exponent

Fernanda Martin and Denisse Pastén

Chaos, Solitons & Fractals, 2026, vol. 210, issue P2

Abstract: Research on complex networks has expanded significantly in recent years, offering robust frameworks for geophysical applications. Seismicity, as a complex and dynamic system, poses fundamental challenges for understanding earthquake mechanisms. While the static correlation between seismicity and complex network topology has been previously noted, its dynamic evolution throughout complete seismic cycles remains poorly understood. This study investigates the temporal behavior of the slope of the connectivity probability distribution (γ) and its physical relationship with the Gutenberg–Richter b-value. Utilizing an extensive 34-year seismic catalog (1991–2020) from the Chilean subduction zone, we analyze the sequences of the Mw 8.2 Iquique, Mw 8.4 Illapel, and Mw 8.8 Cauquenes earthquakes. By employing a sliding-window approach, we characterize the continuous evolution of the b/γ ratio and reveal consistent decay patterns prior to major ruptures. Our findings demonstrate that γ not only scales linearly with b≈0.4γ near the mainshock but also acts as a sensitive dynamic indicator of the system’s preparation phase. This longitudinal analysis provides new insights into the use of complex network parameters for monitoring the critical state of seismic regions.

Keywords: Large earthquakes; Complex networks; Critical exponent; Seismic risk (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:210:y:2026:i:p2:s0960077926008143

DOI: 10.1016/j.chaos.2026.118673

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