Social Networks and the Semantic Web offers valuable information
to practitioners developing social-semantic software for the Web.
It
provides two major case studies. The first case study shows the
possibilities of tracking a research community over the Web. It
reveals how social network mining from the web plays an important
role for obtaining large scale, dynamic network data beyond the
possibilities of survey methods. The second case study highlights
the role of the social context in user-generated classifications in
content, such as the tagging systems known as folksonomies.
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