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Identifying influential user communities on the social network
Weishu Hu; Zhiguo Gong; Leong Hou U; Jingzhi Guo
2015
Source PublicationEnterprise Information Systems
ISSN17517575
Volume9Issue:7Pages:709-724
Abstract

Nowadays social network services have been popularly used in electronic commerce systems. Users on the social network can develop different relationships based on their common interests and activities. In order to promote the business, it is interesting to explore hidden relationships among users developed on the social network. Such knowledge can be used to locate target users for different advertisements and to provide effective product recommendations. In this paper, we define and study a novel community detection problem that is to discover the hidden community structure in large social networks based on their common interests. We observe that the users typically pay more attention to those users who share similar interests, which enable a way to partition the users into different communities according to their common interests. We propose two algorithms to detect influential communities using common interests in large social networks efficiently and effectively. We conduct our experimental evaluation using a data set from Epinions, which demonstrates that our method achieves 4–11.8% accuracy improvement over the state-of-the-art method.

KeywordData Mining Edge-weighted Sub-graph Problems Electronic Commerce Systems Influential Communities Social Networks
DOIhttp://doi.org/10.1080/17517575.2013.804586
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems
WOS IDWOS:000353775200003
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Citation statistics
Cited Times [WOS]:9   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorZhiguo Gong
AffiliationDepartment of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macao, China
First Author AffilicationFaculty of Science and Technology
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Weishu Hu,Zhiguo Gong,Leong Hou U,et al. Identifying influential user communities on the social network[J]. Enterprise Information Systems,2015,9(7):709-724.
APA Weishu Hu,Zhiguo Gong,Leong Hou U,&Jingzhi Guo.(2015).Identifying influential user communities on the social network.Enterprise Information Systems,9(7),709-724.
MLA Weishu Hu,et al."Identifying influential user communities on the social network".Enterprise Information Systems 9.7(2015):709-724.
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