Modelling cascades over time in microblogs

• Main Authors: WEI, Xie, ZHU, Feida, LIU, Siyuan, WANG, Ke
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Twitter network; Baseline models; Business applications; Cascade data; Cascades modelling; Hazard function; Microblogging services; Model fitting; Resharing behaviour; Retweeting cascades; Time-aware cascade model; Viral cascade discovery; Viral cascades; Viral marketing; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/3135; https://ink.library.smu.edu.sg/context/sis_research/article/4135/viewcontent/144___Modelling_Cascades_Over_Time_in_Microblogs__BigDataCongress2015_.pdf
• Institution: Singapore Management University

One of the most important features of microblogging services such as Twitter is how easy it is to re-share a piece of information across the network through various user connections, forming what we call a "cascade". Business applications such as viral marketing have driven a tremendous am...