2018 IEEE 34th International Conference on Data Engineering (ICDE) (2018)
Apr 16, 2018 to Apr 19, 2018
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 analysis tools: keyword-based influential user discovery, personalized influential keywords suggestion, and interactive influential paths exploration. These tools can not only discover influential users, but also provide insights on how the users influence the network. Third, OCTOPUS enables online influence analysis, which provides end-users with instant results. We have implemented and deployed OCTOPUS, and demonstrate its usability and efficiency on two social networks.
information retrieval, social networking (online), social sciences computing, user interfaces
J. Fan et al., "OCTOPUS: An Online Topic-Aware Influence Analysis System for Social Networks," 2018 IEEE 34th International Conference on Data Engineering (ICDE), Paris, France, 2018, pp. 1569-1572.