DocumentCode
480706
Title
Co-occurrence Analysis Focused on Blogger Communities
Author
Sato, Shin-ya ; Fukuda, Kensuke ; Hirotsu, Toshio ; Kurihara, Satoshi ; Sugawara, Toshiharu
Author_Institution
NTT Network Innovation Labs., Musashino
Volume
1
fYear
2008
fDate
9-12 Dec. 2008
Firstpage
372
Lastpage
376
Abstract
We studied the problem of finding a subspace of Web pages that is contextually consistent for co-occurrence analysis. We looked at blogs and proposed blogger-based co-occurrence analysis, which assumes that two items are relevant to each other if they appear in any of the blog entries posted by the same blogger. We show that (1) blogger-based analysis outperforms conventional page-based analysis in solving context-sensitive problems and that (2) analysis focused on bloggers forming a community yields better performance compared with that focused on isolated bloggers.
Keywords
Internet; data mining; Web mining; Web pages subspace; blogger-based cooccurrence analysis; context-sensitive problem; Blogs; Communities; Intelligent agent; Intelligent networks; Performance analysis; Principal component analysis; Social network services; Technological innovation; Web mining; Web pages; blogger communities; blogger-based co-occurrence analysis; contextually consistent Web pages;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
Conference_Location
Sydney, NSW
Print_ISBN
978-0-7695-3496-1
Type
conf
DOI
10.1109/WIIAT.2008.28
Filename
4740475
Link To Document