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.