Publication Type
PhD Dissertation
Version
publishedVersion
Publication Date
7-2017
Abstract
Microblogs such as Twitter have become the largest social platforms for users around the world to share anything happening around them with friends and beyond. A bursty topic in microblogs is one that triggers a surge of relevant tweets within a short period of time, which often reflects important events of mass interest. How to leverage microblogs for early detection and further impact analysis of bursty topics has, therefore, become an important research problem with immense practical value.
Keywords
bursty topic, virality forecasting, topic detection, real-time detection topic sketch
Degree Awarded
PhD in Information Systems
Discipline
Programming Languages and Compilers | Software Engineering
Supervisor(s)
ZHU, Feida
Publisher
Singapore Management University
City or Country
Singapore
Citation
XIE, Wei.
Real-time bursty topic detection and virality forecasting in microblogs. (2017).
Available at: https://ink.library.smu.edu.sg/etd_coll_all/20
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.