A Context-Aware Trust-Oriented Influencers Finding in Online Social Networks

Feng Zhu, G. Liu, Yan Wang, An Liu, Zhixu Li, Pengpeng Zhao, Lei Li

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE International Conference on Web Services, ICWS 2015
EditorsJS Miller
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages456-463
Number of pages8
ISBN (Electronic)9781467372725, 9781467372718
ISBN (Print)9781467372732
DOIs
Publication statusPublished - 13 Aug 2015
Externally publishedYes
EventIEEE International Conference on Web Services, ICWS 2015 - New York, United States
Duration: 27 Jun 20152 Jul 2015

Other

OtherIEEE International Conference on Web Services, ICWS 2015
CountryUnited States
CityNew York
Period27/06/152/07/15

Keywords

  • social influence
  • social network
  • trust

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