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A new study of tweets spreading news from The New York Times finds that the Internet, while creating an open line of communication across continents, may at the same time be strengthening walls that separate users into ideological camps, and more. 
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Sadilek and colleagues turn their target's social network into a predictive model called a dynamic Bayesian network. At each point in time, the nodes in the target person's network consist of their friends' locations, day of the week and the time, and information from these nodes determines the target's most likely location. Sadilek can also feed in any existing information about the person's whereabouts to help improve the model's accuracy.
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Research from the University of Aberdeen’s School of Biological Sciences suggests the way we talk or share links on social networks mirrors the way animal groups, like dolphins, share information.
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New research involving Twitter finds that people tend to flock together on social networks based on mood, in addition to similar interests.
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Social media is revolutionising disaster management and community building during emergencies, a study into social networking during last year’s Queensland floods has found.
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