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, combining
the information obtained from the Web with other data sources and
analyzing the results. Social network mining from the web plays an
important role in this case study 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.