Science website traffic for other natural disasters, including volcanic eruptions, cyclones, heatwaves, typhoons, and bushfires are similarly fit by power laws. is in determining suitable threshold values on the number of user sessions. This study provides a clear, quantitatively justified motive for scientists of all affiliations to prioritize timely science communication with the public following time‐critical natural phenomena and disasters. assumed 36, even to the extent of delivering s unique user experience by. Science websites with diverse sources and content exhibit similarly scaled traffic volume patterns. Website traffic decays with increasing seismic sequence duration but is ultimately sustained at levels 800%–1400% larger than pre‐event traffic, revealing sustained public utilization of science websites that outlast the duration of the associated natural disaster. For example, Feb '09 -> AWStats 60k, GA 33k (estimated from your graph). Traffic also increases in response to public communications by the affiliated website operator. Craig - the gap keeps growing, but the ratio between them seems to be remaining constant. Traffic perturbations scale with earthquake magnitude and population exposure to strong shaking. Analysis of science website traffic during the 2010–2012 Canterbury earthquake sequence in New Zealand reveals near‐instantaneous traffic surges after strong earthquakes followed by heavy‐tailed power‐law temporal decay consistent with Omori law for aftershocks. When I open AWStats in CPanel it shows 2 unique users and 120 visits for the time span of Jan 1st to Jan 27th for the year 2019 but I am sure there are more than 200 unique visitors for my website for the mentioned period because in one of the pages I am logging user IPs for reporting purpose that shows more than 170 unique IP addresses logged. Science communication in natural disasters is important to society but rarely informed by quantitative analysis of website traffic patterns.
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