Social Networks and the Semantic Web - Hardback

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.

• | Author: Peter Mika
• | Publisher: Springer
• | Publication Date: Sep 18, 2007
• | Number of Pages: 234 pages
• | Binding: Hardback or Cased Book
• | ISBN-10: 0387710000
• | ISBN-13: 9780387710006