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As pervasive computing meets social networks, there is a fast growing research field called Pervasive Social Computing. Applications in this area exploit the richness of information arising out of people using sensor-equipped pervasive devices in their everyday life combined with intense use of different Social Networking Services. The authors call this set of information Pervasive Social Context. They provide a taxonomy to classify Pervasive Social Context along the dimensions Space, Time, People, and information source (STiPI) as well as commenting on the type and reason for creating such context. A survey of recent research work shows the applicability and usefulness of the taxonomy in classifying and assessing applications and systems in the area of Pervasive Social Computing.
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