A context-aware trust-oriented influencers finding in online social networks

Zhu, Feng, Liu, Guanfeng, Wang, Yan, Liu, An, Li, Zhixu, Zhao, Pengpeng and Li, Lei (2015). A context-aware trust-oriented influencers finding in online social networks. In: John A. Miller and Hong Zhu, Proceedings - 2015 IEEE International Conference on Web Services, ICWS 2015. IEEE International Conference on Web Services, ICWS 2015, New York, NY, United States, (456-463). 27 June-2 July 2015. doi:10.1109/ICWS.2015.67


Author Zhu, Feng
Liu, Guanfeng
Wang, Yan
Liu, An
Li, Zhixu
Zhao, Pengpeng
Li, Lei
Title of paper A context-aware trust-oriented influencers finding in online social networks
Conference name IEEE International Conference on Web Services, ICWS 2015
Conference location New York, NY, United States
Conference dates 27 June-2 July 2015
Convener John A. Miller
Proceedings title Proceedings - 2015 IEEE International Conference on Web Services, ICWS 2015
Journal name Proceedings - 2015 IEEE International Conference on Web Services, ICWS 2015
Place of Publication Piscataway, NJ, United States
Publisher Institute of Electrical and Electronics Engineers
Publication Year 2015
Sub-type Fully published paper
DOI 10.1109/ICWS.2015.67
Open Access Status Not Open Access
ISBN 9781467380904
9781467372725
Editor John A. Miller
Hong Zhu
Start page 456
End page 463
Total pages 8
Chapter number 58
Total chapters 102
Collection year 2016
Language eng
Abstract/Summary Online Social Networks (OSNs) have been used as the means for a variety of applications, like employment system, e-Commerce and CRM system. In these applications, social influence acts as a significant role, affecting people's decision-making. However, the existing social influence evaluation methods do not fully consider the social contexts, like the social relationships and the social trust between participants, and the preferences of participants, which have significant impact on social influence evaluation in OSNs. Thus, these existing methods cannot deliver accurate social influence evaluation results. In our paper, we propose a Context-Aware Trust-Oriented Influencers Finding method, called CT-Influence, with social contexts taken into account. We conduct experiments onto two real social network datasets, i.e., Epinions and DBLP. The experimental results illustrate that our CT-Influence method greatly outperforms the state-of-the-art method So Cap in terms of effectiveness and efficiency.
Keyword Social influence
Social network
Trust
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Non-UQ

 
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