Seismicity patterns of earthquake swarms due to fluid intrusion and stress triggering

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Detecting fluid signals in seismicity data through statistical earthquake modeling (2005, methodology): “subcritical, critical or supercritical state [Hainzl, 2004].”
Fluid‐faulting evolution in high definition: Connecting fault structure and frequency‐magnitude variations during the 2014 Long Valley Caldera, California, earthquake swarm (2016, background): “When combined with stress transfer, this process likely drives the observed rapid expansion of activity [e.g., Hainzl, 2004], where earthquakes focus around the fringes of previous ruptures, as fluid pressure rises in this zone of stress concentration after the rupture (supporting information…”