Mining Shared Social Media Links to Support Clustering of Blog Articles

Darko Obradovic, Fernanda Pimenta, Andreas Dengel

In: Ajith Abraham , Emilio Corchado , Reda Alhajj , Vaclav Snasel (Hrsg.). Proceedings of the 2011 International Conference on Computational Aspects of Social Networks (CASoN 2011). International Conference on Computational Aspects of Social Networks (CASoN-11) October 19-21 Salamanca Spain Seiten 181-184 ISBN 978-1-4577-1131-2 IEEE 2011.


When monitoring blog articles for the tracking of a certain personality or product, the automatic identification of topic clusters is of high interest. Clustering by textual content is a popular method to accomplish this. In this paper we investigate how links between individual blog articles can be used to support this clustering with another dimension of information. Given the existing component structure of these networks, we focus on the extension with links based on shared social media resources. We show that the component structure extended in this way is of very high use for supporting textual clustering algorithms, and may be used for a new type of hybrid clustering algorithms in the future.


Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence