Social Networks and the Semantic Web

by Peter Mika

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.

248 pages, Paperback

First published January 1, 2007

Reviews

[Serge Boucher · Rating 4 out of 5]

Title says it all. Adapted from Peter Mika's thesis, it's a great primer on the field.

[Budi Susanto · Rating 4 out of 5]

I need this book as my basis to develop my research ideas about semantic web and social network analysis..