With every click, Facebook, Twitter and other social media users leave behind digital traces of themselves, information that can be used by businesses, government agencies and other groups that rely on "big data."
Social Sciences
Jun 23, 2015
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Big Data presents scientists with unfolding opportunities, including, for instance, the possibility of discovering heterogeneous characteristics in the population leading to the development of personalized treatments and ...
Computer Sciences
Aug 26, 2014
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If you have just seen a play that you privately think is drivel, will you keep silent when everyone around you demands an encore?
Social Sciences
Jun 19, 2013
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If you think keeping up with what's happening via Twitter, Facebook and other social media is like drinking from a fire hose, multiply that by 7 billion – and you'll have a sense of what Court Corley wakes up to every morning.
Computer Sciences
Jun 7, 2013
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(Phys.org) —Researchers studied thousands of ceramic and obsidian artifacts from A.D. 1200-1450 to learn about the growth, collapse and change of social networks in the late pre-Hispanic Southwest.
Archaeology
Mar 25, 2013
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Twitter's home page features a regularly updated list of topics that are "trending," meaning that tweets about them have suddenly exploded in volume. A position on the list is highly coveted as a source of free publicity, ...
Computer Sciences
Nov 1, 2012
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Cuba on Tuesday accused Google of "outrageous censorship" after the US Internet giant blocked access to a web traffic analysis tool to comply with US sanctions against Havana.
Internet
Jun 20, 2012
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MIT researchers have created a new Urban Network Analysis (UNA) toolbox that enables urban designers and planners to describe the spatial patterns of cities using mathematical network analysis methods. Such tools can support ...
Computer Sciences
Sep 6, 2011
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Birds of a feather flock together, in cyberspace.
Computer Sciences
Aug 25, 2011
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Comparing the locations of photos posted on the Internet with social network contacts, Cornell University computer scientists have found that as few as three "co-locations" for images at different times and places could predict ...
Computer Sciences
Dec 8, 2010
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