Topic-Sensitive Influencer Mining in Interest-Based Social Media Networks via Hypergraph Learning

@article{Fang2014TopicSensitiveIM,
  title={Topic-Sensitive Influencer Mining in Interest-Based Social Media Networks via Hypergraph Learning},
  author={Quan Fang and Jitao Sang and Changsheng Xu and Yong Rui},
  journal={IEEE Transactions on Multimedia},
  year={2014},
  volume={16},
  pages={796-812}
}
Social media is emerging as a new mainstream means of interacting around online media. Social influence mining in social networks is therefore of critical importance in real-world applications such as friend suggestion and photo recommendation. Social media is inherently multimodal, including rich types of user contributed content and social link information. Most of the existing research suffers from two limitations: 1) only utilizing the textual information, and/or 2) only analyzing the… CONTINUE READING
Highly Cited
This paper has 46 citations. REVIEW CITATIONS

17 Figures & Tables

Topics

Statistics

01020201620172018
Citations per Year

Citation Velocity: 13

Averaging 13 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.