Analyzing microblogs with affinity propagation

Authors:
Jeon Hyung Kang;Kristina Lerman;Anon Plangprasopchok
Affiliations:
USC Information Sciences Institute, Marina del Rey, CA;USC Information Sciences Institute, Marina del Rey, CA;USC Information Sciences Institute, Marina del Rey, CA
Venue:
Proceedings of the First Workshop on Social Media Analytics
Year:
2010

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Abstract

Recently, there has been a great deal of interest in analyzing inherent structures in posts on microblogs such as Twitter. While many works utilize a well-known topic modeling technique, we instead propose to apply Affinity Propagation [4] (AP) to analyze such a corpus, and we hypothesize that AP may provide different perspective to the traditional approach. Our preliminary analysis raises some interesting facts and issues, which suggest future research directions.