OCTOPUS: An Online Topic-Aware Influence Analysis System for Social Networks

@article{Fan2018OCTOPUSAO,
  title={OCTOPUS: An Online Topic-Aware Influence Analysis System for Social Networks},
  author={Ju Fan and Jiarong Qiu and Yuchen Li and Qingfei Meng and Dongxiang Zhang and Guoliang Li and Kian-Lee Tan and Xiaoyong Du},
  journal={2018 IEEE 34th International Conference on Data Engineering (ICDE)},
  year={2018},
  pages={1569-1572}
}
The wide adoption of social networks has brought a new demand on influence analysis. This paper presents OCTOPUS that offers social network users and analysts valuable insights through topic-aware social influence analysis services. OCTOPUS has the following novel features. First, OCTOPUS provides a user-friendly interface that allows users to employ simple and easy-to-use keywords to perform influence analysis. Second, OCTOPUS provides three powerful keyword-based topic-aware influence… CONTINUE READING

Figures and Topics from this paper.

Explore Further: Topics Discussed in This Paper

Citations

Publications citing this paper.
SHOWING 1-3 OF 3 CITATIONS

Influence Maximization on Social Graphs: A Survey

  • IEEE Transactions on Knowledge and Data Engineering
  • 2018
VIEW 1 EXCERPT
CITES BACKGROUND

River: A Real-Time Influence Monitoring System on Social Media Streams

  • 2018 IEEE International Conference on Data Mining Workshops (ICDMW)
  • 2018
VIEW 1 EXCERPT
CITES BACKGROUND

Similar Papers

Loading similar papers…