Detecting community pacemakers of burst topic in Twitter

• Main Authors: DONG, Guozhong, YANG, Wu, ZHU, Feida, WANG, Wei
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Twitter; Burst topic; User graph model; Community pacemakers; Databases and Information Systems; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/3447; https://ink.library.smu.edu.sg/context/sis_research/article/4448/viewcontent/Detecting_Community_Pacemakers_afv.pdf
• Institution: Singapore Management University

Twitter has become one of largest social networks for users to broad-cast burst topics. Influential users usually have a large number of followers and play an important role in the diffusion of burst topic. There have been many studies on how to detect influential users. However, traditional influen...