Description
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.
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.
Book Details
Format
eBook
Pages
237 pages
Language
English
Published
Jan 1, 2007
Publisher
Springer
ISBN-10
1281087572
ISBN-13
9781281087577