TY  - JOUR
AU  - Cha, M.
AU  - Kwak, H.
AU  - Rodriguez, P.
AU  - Ahn, Y.Y.
AU  - Moon, S.
T1  - I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system
JO  - 
PY  - 2007/
VL  - 
IS  - 
SP  - 1
EP  - 14
UR  - 
DO  - 
KW  - sna
KW  - web2.0
KW  - youtube
L1  - 
SN  - 
N1  - 
N1  - 
AB  - 
ER  -

TY  - UNPB
AU  - Hayes, C.
AU  - Avesani, P.
A2  - 
T1  - Using Blog Tags To Identify Topic Authorities
PY  - 2007/
SP  - 
EP  - 
UR  - https://apps.lis.uiuc.edu/wiki/display/LEADS/Fall+2007+Archive
DO  - 
KW  - folksonomy
KW  - law
KW  - power
KW  - tagging
KW  - web2.0
L1  - 
N1  - 
N1  - 
AB  - The Web has experienced an exponential growth in the use of weblogs or blogs. Blog entries are generally organised using tags, informally defined labels which are increasingly being proposed as a 'grassroots' answer to Semantic Web standards. Despite this, tags have been shown to be weak at partitioning blog data. In this paper, we demonstrate how tags provide useful, discriminating information where the blog corpus is initially partitioned using a conventional clustering technique. Using extensive empirical evaluation we demonstrate how tag cloud information within each cluster allows us to identify potentially strong topic 'authorities' in each cluster. We conclude that tags have a key auxiliary role in refining and confirming the information produced using typical knowledge discovery techniques.
ER  -

TY  - JOUR
AU  - Hayes, C.
AU  - Avesani, P.
AU  - Veeramachaneni, S.
T1  - An analysis of the use of tags in a blog recommender system
JO  - ITC-IRST Technical Report. http://sra. itc. it/people/hayes/pubs/06/hayes-ijcai07-tech-report. pdf
PY  - 2006/
VL  - 
IS  - 
SP  - 
EP  - 
UR  - 
DO  - 
KW  - folksonomy
KW  - tagging
KW  - web2.0
L1  - 
SN  - 
N1  - 
N1  - 
AB  - 
ER  -