DocumentCode
2918707
Title
Categorization of Blogs through Similarity Analysis
Author
Choi, Hwan-Joon ; Krishnamoorthy, Mukkai S.
Author_Institution
Rensselaer Polytech. Inst., Troy
fYear
2007
fDate
23-24 May 2007
Firstpage
160
Lastpage
165
Abstract
We describe a new model for evaluating similarities among a large number of web logs, and compare several algorithms using the model. Possible uses of this include isolating and tracking like-minded networks for surveillance and improved categorization. Our model consists of similarity analysis combined with clustering. Experimental results show that our algorithm is able to separate blogs into categories, consistently achieving over 90% success rate.
Keywords
Web sites; graph theory; information retrieval; Web browsing; Web log categorization; search engine; similarity analysis; social networking; weighted undirected graph; Algorithm design and analysis; Blogs; Clustering algorithms; Computer science; Joining processes; MySpace; Social network services; Surveillance; Traffic control; Uniform resource locators; clustering; social networking; weblog;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligence and Security Informatics, 2007 IEEE
Conference_Location
New Brunswick, NJ
Electronic_ISBN
1-4244-1329-X
Type
conf
DOI
10.1109/ISI.2007.379549
Filename
4258690
Link To Document