Twitter mentions of "earthquake" or "terremoto" (Spanish for earthquake). This is a view zoomed in to a 7 minute period. The earthquake started at 17:33:49. It took around 30 seconds after the Earthquake started before tweets hit Twitter.
#earthquake #bigdata #datascience
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Also, this is showing 5 second intervals. So every 5 seconds there were around 1,000 tweets (a tweet here being a tweet, retweet or quoted tweet) where the words earthquake or terremoto were present within the tweets.
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Nice. Did you build your anomaly detection model yet? How would you optimize the threshold to fire the alert for your earthquake detector?
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Haven't finished it yet. This particular earthquake caused the tweet volume to shoot up well over dozens of standard deviations. It will be interesting once I run some tests eventually to see how it would react using historical (this) data.
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