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Using Tags and Clustering to Identify Topic-specific Blogs Conor Hayes Digital Enterprise Research Institute, National University of Ireland, Galway, Ireland Paolo Avesani, Bruno Kessler Institute (ITC-IRST) Trento, Italy
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Tag clouds
The Long Tail ,[object Object],[object Object],[object Object],[object Object],[object Object]
Data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Clustering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Clustering: Tags vs. Content ,[object Object]
Partitioning the tag space
Tag frequency distribution per cluster ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
A-bloggers ,[object Object]
Intrablog similarity: A- vs. C-blogs  ,[object Object]
Similarity to centroid: A- vs. C-blogs  ,[object Object]
A-bloggers are ,[object Object],[object Object]
Relevance? ,[object Object],[object Object],[object Object],[object Object],[object Object]
Verification 2: by Google
Similarity to pages from Google
Consistency over time ?
Blogger Entropy ,[object Object],win t+n q   : number of clusters at win t+n  containing users from cluster  r n r i   :   number of users from cluster  r  contained in cluster  i  at win t+n n r :  number of users from cluster  r  available at win t+n win t
Entropy: a-blogs vs c-blogs ,[object Object],[object Object],[object Object]
Example of A-blogs and C-blogs ,[object Object],[object Object],A-blogs C-blogs
Conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
References ,[object Object],[object Object]
Appendix ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],spam

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Using Tags and Clustering to Identify Topic-specific Blogs