Real-time bursty topic detection and virality forecasting in microblogs

• Main Author: XIE, Wei
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: bursty topic; virality forecasting; topic detection; real-time detection topic sketch; Programming Languages and Compilers; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/etd_coll_all/20; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1034&context=etd_coll_all
• Institution: Singapore Management University

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.