Identifying and Analysing Germany's Top Blogs

Authors:
Darko Obradovič;Stephan Baumann
Affiliations:
DFKI, Knowledge Management Department & Computer Science Department, Technical University of Kaiserslautern, Kaiserslautern, Germany;DFKI, Knowledge Management Department & Computer Science Department, Technical University of Kaiserslautern, Kaiserslautern, Germany
Venue:
KI '08 Proceedings of the 31st annual German conference on Advances in Artificial Intelligence
Year:
2008

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Abstract

Blogs are popular communication instruments in today's web and altogether, they form the so-called blogosphere. This blogosphere has repeatedly been subject to structural analyses, while a compilation of the definitive top blogs is still missing. Using the German blogosphere as an example, we developed a method to identify an accurate representation of the top blogs and used their reciprocal recommendations as the input for social network algorithms. These revealed interesting positions of blogs that are not respected by existing ranking services up to date.