DocumentCode :
3455663
Title :
Combining Social Network Analysis and Web Mining Techniques to Discover Interest Groups in the Blogspace
Author :
Wu, Hui-Ju ; Ting, I-Hsien ; Wang, Kai-Yu
Author_Institution :
Inst. of Human Resource Manage., Nat. Changhua Univ. of Educ., Changhua, Taiwan
fYear :
2009
fDate :
7-9 Dec. 2009
Firstpage :
1180
Lastpage :
1183
Abstract :
The purpose of the research paper is to analyze the characteristics of users in social networking Web sites as well as the related contents of the Web sites. This research expect to use the techniques of social network analysis and Web mining to illustrate the networks of the blog users and by this to discover the interest groups. The analysis results will then be used to construct a recommendation mechanism and system. Furthermore, we expect that the concept of target-marketing can be achieved according to the proposed system.
Keywords :
Internet; data mining; electronic commerce; marketing; social networking (online); Web mining techniques; blogspace; e-commerce; recommendation system; social network analysis; social networking Web sites; target marketing; Data mining; Design methodology; Information analysis; Information services; Internet; Knowledge management; Social network services; Taxonomy; Web mining; Web sites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4244-5543-0
Type :
conf
DOI :
10.1109/ICICIC.2009.140
Filename :
5412306
Link To Document :
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