On Predicting User Affiliations Using Social Features in Online Social Networks

Author

Minh Thap NGUYEN, Singapore Management UniversityFollow

Publication Type

Master Thesis

Version

publishedVersion

Publication Date

3-2014

Abstract

User profiling such as user affiliation prediction in online social network is a challenging task, with many important applications in targeted marketing and personalized recommendation. The research task here is to predict some user affiliation attributes that suggest user participation in different social groups.

Keywords

classification, social networks, data mining, machine learning

Degree Awarded

MSc in Information Systems

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing | Social Media

Supervisor(s)

Lim, Ee Peng

First Page

1

Last Page

64

Publisher

Singapore Management University

City or Country

Singapore

Citation

NGUYEN, Minh Thap. On Predicting User Affiliations Using Social Features in Online Social Networks. (2014). 1-64.
Available at: https://ink.library.smu.edu.sg/etd_coll/122

Copyright Owner and License

Author

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.