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Community discovery and analysis in blogspace
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Source International World Wide Web Conference archive
Proceedings of the 15th international conference on World Wide Web table of contents
Edinburgh, Scotland
POSTER SESSION: Browsers and UI, web engineering, hypermedia & multimedia, security, and accessibility table of contents
Pages: 1017 - 1018  
Year of Publication: 2006
ISBN:1-59593-323-9
Authors
Ying Zhou  The University of Sydney, Australia
Joseph Davis  The University of Sydney, Australia
Sponsors
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Weblog has quickly evolved into a new information and knowledge dissemination channel. Yet it is not easy to discover weblog communities through keyword search. The main contribution of this paper is the study of weblog communities from the perspective of social network analysis. We proposed a new way of collecting and preparing data for weblog community discovery. The data collection stage focuses on gaining knowledge of the strength of social ties between weblogs. The strength of social ties and the clustering feature of social network guided the discovery of weblog communities.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Batagelj V. Analysis of large networks - Islands Presented at Dagstuhl seminar 03361: Algorithmic Aspects of Large and Complex Networks Dagstuhl, 2003
 
2
Granovetter M. The Strength of weak ties: network theory revisited. Sociological Theory, Vol. 1 (1983), 201--233
 
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Wasserman S. and Faust K., Social Network Analysis, Cambridge University Press, Cambridge, 1994