Unraveling the dynamics of stable and curious audiences in web systems

• Main Authors: ALVES, Rodrigo, LEDENT, Antoine, ASSUNÇÃO, Renato, VAZ-DE-MELO, Pedro, KLOFT, Marius
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Time Series; Point Processes; EM algorithm; Databases and Information Systems; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/9304; https://ink.library.smu.edu.sg/context/sis_research/article/10304/viewcontent/3589334.3645473.pdf
• Institution: Singapore Management University

We propose the Burst-Induced Poisson Process (BPoP), a model designed to analyze time series data such as feeds or search queries. BPoP can distinguish between the slowly-varying regular activity of a stable audience and the bursty activity of a curious audience, often seen in viral threads. Our mod...