Publication Type

Conference Proceeding Article

Version

submittedVersion

Publication Date

4-2018

Abstract

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.

Keywords

Influence Analysis, Social Networks, Topic Model

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing

Research Areas

Data Science and Engineering

Publication

2018 IEEE International Conference on Data Engineering 34th ICDE: Paris, April 16-19: Proceedings

First Page

1569

Last Page

1572

ISBN

9781538655207

Identifier

10.1109/ICDE.2018.00178

Publisher

IEEE Computer Society

City or Country

Los Alamitos, CA

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1109/ICDE.2018.00178

Download

Share

COinS