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.
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Obradovič, D., Baumann, S. (2008). Identifying and Analysing Germany’s Top Blogs. In: Dengel, A.R., Berns, K., Breuel, T.M., Bomarius, F., Roth-Berghofer, T.R. (eds) KI 2008: Advances in Artificial Intelligence. KI 2008. Lecture Notes in Computer Science(), vol 5243. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85845-4_14
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DOI: https://doi.org/10.1007/978-3-540-85845-4_14
Publisher Name: Springer, Berlin, Heidelberg
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