and his colleagues have been applying social networks to other,
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, more disastrous events.
First,
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, they tried to see if they could predict outbreaks of contagious disease. But soon, they turned their minds to large-scale disasters. Hurricane Sandy was the perfect target. It was a disaster big enough that everyone cared about it.? The storm, which made landfall in New Jersey on October 29, 2012, killed at least 147 people. It also caused $50 billion in damages and left 8.5 million people without power.
The disaster was large — and came at a time when Twitter had become “a pervasive technology that everyone was using,
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,” Cebrian explains. This made Sandy a good storm to test the powers of Twitter. ?
A storm of social media
The scientists analyzed 9.7 million tweets from 2.2 million users posted between October 15 and November 12, 2012. They restricted their search to tweets where they could determine the location of the user. Cebrian and his group compared “hurricane-related” messages using keywords such as “Frankenstorm,
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,” “Sandy,” and “hurricane” to tweets that contained vague,
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, non-Sandy-related terms such as “weather.”
By comparing Twitter use in 50 cities in the United States, the researchers found that the closer the city was to the hurricane’s path, the more storm-related tweets were sent in the period immediately before,
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, during and after Sandy’s big day,
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, the researchers report March 11 in Science Advances.
Showing that tweets could track a storm’s path was “the main goal,
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,” Cebrian explains, but then the

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